chore(model gallery): add mistralai_mistral-small-3.2-24b-instruct-2506

gallery/index.yaml

@@ -1275,7 +1275,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -1293,7 +1293,7 @@
   description: |
     google/gemma-3-12b-it is an open-source, state-of-the-art, lightweight, multimodal model built from the same research and technology used to create the Gemini models. It is capable of handling text and image input and generating text output. It has a large context window of 128K tokens and supports over 140 languages. The 12B variant has been fine-tuned using the instruction-tuning approach. Gemma 3 models are suitable for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes them deployable in environments with limited resources such as laptops, desktops, or your own cloud infrastructure.
   overrides:
     #mmproj: gemma-3-12b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-12b-it-Q4_K_M.gguf
   files:
@@ -1311,7 +1311,7 @@
   description: |
     Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. Gemma-3-4b-it is a 4 billion parameter model.
   overrides:
     #mmproj: gemma-3-4b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-4b-it-Q4_K_M.gguf
   files:
@@ -4426,7 +4426,7 @@
       sha256: b34dde1835752949d6b960528269af93c92fec91c61ea0534fcc73f96c1ed8b2
       uri: https://huggingface.co/ggml-org/ultravox-v0_5-llama-3_2-1b-GGUF/resolve/main/mmproj-ultravox-v0_5-llama-3_2-1b-f16.gguf
 - &qwen25
   name: "qwen2.5-14b-instruct" ## Qwen2.5
   icon: https://avatars.githubusercontent.com/u/141221163
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master"
   license: apache-2.0
@@ -6387,7 +6387,7 @@
       sha256: 0fec82625f74a9a340837de7af287b1d9042e5aeb70cda2621426db99958b0af
       uri: huggingface://bartowski/Chuluun-Qwen2.5-72B-v0.08-GGUF/Chuluun-Qwen2.5-72B-v0.08-Q4_K_M.gguf
 - &smollm
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master" ## SmolLM
   name: "smollm-1.7b-instruct"
   icon: https://huggingface.co/datasets/HuggingFaceTB/images/resolve/main/banner_smol.png
   tags:
@@ -12741,6 +12741,29 @@
     - filename: mistralai_Magistral-Small-2506-Q4_K_M.gguf
       sha256: b681b81ba30238b7654db77b4b3afa7b0f6226c84d8bbd5a5dfb1a5a3cb95816
       uri: huggingface://bartowski/mistralai_Magistral-Small-2506-GGUF/mistralai_Magistral-Small-2506-Q4_K_M.gguf
+- !!merge <<: *mistral03
+  icon: https://cdn-avatars.huggingface.co/v1/production/uploads/634c17653d11eaedd88b314d/9OgyfKstSZtbmsmuG8MbU.png
+  name: "mistralai_mistral-small-3.2-24b-instruct-2506"
+  urls:
+    - https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506
+    - https://huggingface.co/bartowski/mistralai_Mistral-Small-3.2-24B-Instruct-2506-GGUF
+  description: |
+    Mistral-Small-3.2-24B-Instruct-2506 is a minor update of Mistral-Small-3.1-24B-Instruct-2503.
+
+    Small-3.2 improves in the following categories:
+
+        Instruction following: Small-3.2 is better at following precise instructions
+        Repetition errors: Small-3.2 produces less infinite generations or repetitive answers
+        Function calling: Small-3.2's function calling template is more robust (see here and examples)
+
+    In all other categories Small-3.2 should match or slightly improve compared to Mistral-Small-3.1-24B-Instruct-2503.
+  overrides:
+    parameters:
+      model: mistralai_Mistral-Small-3.2-24B-Instruct-2506-Q4_K_M.gguf
+  files:
+    - filename: mistralai_Mistral-Small-3.2-24B-Instruct-2506-Q4_K_M.gguf
+      sha256: 2ad86e0934a4d6f021c1dbcf12d81aac75a84edd3a929294c09cb1cb6117627c
+      uri: huggingface://bartowski/mistralai_Mistral-Small-3.2-24B-Instruct-2506-GGUF/mistralai_Mistral-Small-3.2-24B-Instruct-2506-Q4_K_M.gguf
 - &mudler
   url: "github:mudler/LocalAI/gallery/mudler.yaml@master" ### START mudler's LocalAI specific-models
   name: "LocalAI-llama3-8b-function-call-v0.2"