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[Diffusion] Fail MiniMax-H3 quality="high" closed on substituted DiT weights - #34978

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Raymondlol:minimax-h3-quality-weight-identity
Oct 10, 2026
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mickqian merged 3 commits into
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Raymondlol:minimax-h3-quality-weight-identity

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@Raymondlol

@Raymondlol Raymondlol commented Aug 15, 2026 •

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Motivation

Closes #34954. validate_quality_deployment pins sixteen server args and the
device, but none of them observes which DiT weights are resident, so
quality: "high" keeps its audited SSIM/PSNR promise attached to weights it was
never measured on. Two CLI args substitute those weights:

  • --lora-path — on the audited 4×H200 deployment, with the cookbook's own
    Turbo-LoRA recipe merged, quality: "high" completes at the audited shape in
    42.98 s against the 43.28 s the same tier takes on base weights. The LoRA
    recipes section says that combination "has not been quality-validated".
    Repro in [diffusion] MiniMax-H3 quality="high" runs on Turbo-LoRA-merged weights — the audit gate has no adapter field #34954.
  • --transformer-weights-path — quantization: None does not cover this. That
    field carries only the explicit --quantization override, whose help states
    the method is otherwise auto-detected from the checkpoint, and nothing writes
    the detected method back onto server_args.
    resolve_transformer_safetensors_to_load substitutes the entire transformer
    weight set whenever the path is set; when no quant config resolves,
    TransformerLoader warns and proceeds.

Modifications

Add both args to the actual/expected pair, following the existing
one-line-per-field shape, so the gate fails closed on a substituted DiT.
Extend _quality_server_args() and add a parametrized test per arg.

This affects only quality: "high". MiniMaxH3PartitionAdmissionStage.forward
calls the validator under if high_quality and not batch.is_warmup, so lossless
serving with a LoRA and the warmup path are unchanged.

The docs warning names distilled adapters, while lora_path: None also rejects
style adapters like the Realism-People LoRA that keep the 50-step schedule. That
is deliberate. The audited figure was measured on base weights and the Cache-DiT
policy keys on residual drift, so any merged adapter moves what was measured, and
the server cannot tell the two kinds apart from the path. Allowing non-distilled
adapters would want an explicit allowlist rather than an unchecked field.

model_path is deliberately out of scope. It has no single expected value the
way the other fields do: the cookbook gives a root model ID per hub
(MiniMaxAI/MiniMax-H3 on Hugging Face, MiniMax/MiniMax-H3 on ModelScope),
and a repo ID on its own does not fix the content without a pinned revision.
Base-model identity needs that revision pin or a weight digest, which is a
separate decision. component_transformer_weights_paths is left alone as well:
it has no CLI flag and I did not find an H3 path that populates it.

Accuracy Tests

N/A — admission-time validation only; no model output or kernel path changes.

test_minimax_h3_admission.py passes 16/16 with this change. Reverting only the
config change and keeping the new test fails exactly the two new parametrizations
(DID NOT RAISE ValueError) with the other 14 still passing, so the test covers
the gap rather than restating the fix.

Speed Tests and Profiling

N/A — one dict comparison per quality: "high" batch admission.

Checklist

Docs are left out on purpose: the cookbook wording that this now enforces sits in
the same .mdx that #34841 and #34909 are both editing. Happy to follow up
separately once those land.


This touches the same function as #34841, which moves the topology fields into
per-profile updates. Both fields here are topology-independent and stay in the
shared literal, so the two changes are disjoint; happy to rebase whichever merges
second.

I don't have permission to add the run-ci label, so pr-gate will be red until
someone applies it — grateful if a maintainer can.


CI States

Latest PR Test (Base): ✅ Run #37272691758
Latest PR Test (Extra): ❌ Run #37272691509
Latest PR Test (AMD ROCm 10): ❌ Run #37272691716

…weights

validate_quality_deployment pins sixteen server args and the device, but none
of them observes which DiT weights are resident, so the audited SSIM/PSNR
promise stays attached to weights it was never measured on. Two CLI args
substitute those weights and neither is checked.

--lora-path: on the audited 4xH200 deployment, with the cookbook's own
Turbo-LoRA recipe merged, quality="high" completes at the audited shape in
42.98 s against the 43.28 s the same tier takes on base weights, while the
LoRA recipes section says that combination has not been quality-validated.

--transformer-weights-path: quantization=None does not cover this. That field
carries only the explicit --quantization override, whose help states the
method is otherwise auto-detected from the checkpoint, and nothing writes the
detected method back onto server_args. resolve_transformer_safetensors_to_load
substitutes the entire transformer weight set whenever the path is set; when
no quant config resolves, the transformer loader warns and proceeds.

Both entries follow the existing one-line-per-field shape. This affects only
quality="high": the validator runs under `if high_quality and not
batch.is_warmup`, so lossless serving with a LoRA and the warmup path are
unchanged.

Closes sgl-project#34954.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
@mickqian

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@github-actions github-actions Bot added the run-ci CI: run the baseline test suite on this PR label Aug 19, 2026
# Conflicts:
#	python/sglang/multimodal_gen/test/unit/test_minimax_h3_admission.py
@mickqian
mickqian merged commit aa79087 into sgl-project:main Oct 10, 2026
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Jianhong-Zhang added a commit to Jianhong-Zhang/sglang that referenced this pull request Oct 21, 2026
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Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [diffusion][xpu] FLUX.2: enable the bit-exact Triton SwiGLU on XPU (sgl-project#41940)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* docs: clarify prefill CP terminology and simplify wording (sgl-project#43787)

* [Fix] Link cuda_ipc JIT against CUDA driver stubs dir (sgl-project#43764)

* [Perf] Route BF16 mixed-batch decode tails through decode attention (sgl-project#43238)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Xiaoyu Zhang <1182563586@qq.com>

* [PD] Poison the deferred abort ack when a Mooncake send fails (sgl-project#43719)

Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>

* [HiCache] Support Mamba in buffer-only host memory mode (sgl-project#36345)

* [HiCache] Preserve all MTP KV and recurrent state (sgl-project#40223)

Co-authored-by: alphabetc1 <2508695655@qq.com>
Co-authored-by: Shuwen Wang <47200617+alphabetc1@users.noreply.github.com>

* [CI] Move tests that do not need GB300 off the per-PR GB300 suite (sgl-project#43784)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* Capture KV host transfer buffers (sgl-project#43711)

* Keep NIXL Mamba checkpoint keys separate by TP rank (sgl-project#43594)

* [XPU] Support decode context parallelism (DCP) on Intel XPU (sgl-project#34355)

Co-authored-by: Siju Samuel <siju.samuel@intel.com>

* [BCG][DSV4-Flash][CP] Support DeepSeek V4 prefill with interleave CP and breakable CUDA graphs (sgl-project#38603)

* [DSV4.1][PD][1/N] Support prefill node use cp parallel strategy (sgl-project#40323)

* [Docs] Update GLM-5.3-Flash playground: B300 default, CP8, EP and PD (sgl-project#43802)

* [Docs] Cookbook: refresh SemiAnalysis AgentX launches (GLM-5.2 B300, DeepSeek-V4.1 GB300) (sgl-project#43799)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [NPU] Stabilize HiCache and registered CI tests (sgl-project#43308)

* [sgl-router] Serve the Anthropic Messages API on /v1/messages (sgl-project#42316)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [Fix] Make tokenizer request-state initialization atomic (sgl-project#41911)

Co-authored-by: Cheng Wan <54331508+ch-wan@users.noreply.github.com>

* [XPU] Upgrade XPU backend to PyTorch 2.14 (sgl-project#42003)

Co-authored-by: Ashwini Rathi <arathi@habana.ai>
Co-authored-by: Y <ashwini.rathi@intel.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* [PD][Spec] Give a PD decode's first EAGLE draft step a proposal distribution (sgl-project#41783)

Co-authored-by: Shangming Cai <csmthu@gmail.com>

* [Fix] Adapt NPU Qwen-VL processor patch to transformers 5.19 resize() signature change (sgl-project#43309)

* [NPU] Diffusion CI fixes (sgl-project#43210)

* [diffusion] chore: bind worker CPUs to the GPU's NUMA node when memory policy is not permitted (sgl-project#43756)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [CI][Diffusion] Add caching for npu GT images in CI (sgl-project#37426)

Co-authored-by: Артем Савкин <58187114+OrangeRedeng@users.noreply.github.com>

* [QSA] Bound the decode indexer's work by the context length (sgl-project#43463)

Co-authored-by: luoyuan.luo <luoyuan.luo@antgroup.com>

* Prebuild fixup_zero_kv JIT module at TRTLLM-MLA backend init (sgl-project#37525)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* [Unified Cache] Abort requests whose external linker load fails instead of crashing the scheduler (sgl-project#40896)

* [DSpark] Share draft params, logits dtype, confidence and the accept tail between graph and eager (sgl-project#43790)

* [DFlash] Decide the Domino candidate pool in one place and apply simulated acceptance inside the accept (sgl-project#43791)

* Fix autograd retention in CUDA graph capture tail hooks (sgl-project#43854)

* [ROCm] Eliminate HiCache migration stalls and use exact-size host allocations (sgl-project#42553)

Signed-off-by: JohnQinAMD <yanyuan.qin@amd.com>
Co-authored-by: JohnQinAMD <yanyuan.qin@amd.com>

* [AMD] Keep the FP4 varctx schedule test off AITER's 2048-row compile (sgl-project#41793)

* [AMD] Add flydsl mxfp8 dense gemm kernel for dpsk v4.1 prefill (sgl-project#43803)

* [AMD] Fix test_compact_attention_hip.py CI (sgl-project#43836)

* [AMD] [Docker] Update MoRI to v1.2.4 (sgl-project#43834)

* [Kernel] Expose bundled FlashMLA MegaAttention kernels and APIs (sgl-project#43918)

* [DeepSeek-V4.1] Admit the NIXL transfer backend for DSpark PD (sgl-project#43734)

* [AMD] Recalibrate test_quark_mxfp4 GSM8K thresholds to observed MI355X noise (sgl-project#41980)

* [DSV4][CP] Write low-ratio page indices when CP prefill runs paged attention (sgl-project#43935)

* [Build][CI] Drop Python 3.10: require Python 3.11+ and run CUDA CI on Python 3.12 (sgl-project#43021)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>
Co-authored-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>

* [DeepSeek-V4.1] mHC: drop seam_open, narrow precomputed stats in take_rows (sgl-project#43833)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [DSv4.1] Reduce sparse-prefill workspace padding (sgl-project#43921)

* [HiCache] Avoid full-store scans for uncached file prefix lookups (sgl-project#42077)

Signed-off-by: apex-mochen <2756823972@qq.com>
Co-authored-by: apex-mochen <265981728+apex-mochen@users.noreply.github.com>
Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>

* [Fix] Preserve HTTP errors for non-streaming /v1/messages (sgl-project#43796)

Co-authored-by: Xinyuan Tong <xinyuantong.cs@gmail.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [DSv4.1] Temporarily disable B300 PD/CP accuracy test (sgl-project#43948)

* [PD] Recompute retracted DeepSeek-V4 requests on prefill instead of crashing decode (sgl-project#43936)

* [Fix] Account for captured inputs in DeepGEMM masked workspace budget (sgl-project#43563)

* [AMD] Update v4 amd cookbook 1012 (sgl-project#43962)

* [CI] Remove Mistral Small 4 e2e test (sgl-project#43973)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* Reuse Hugging Face LFM2-MoE configuration (sgl-project#43939)

Co-authored-by: Codex <codex@openai.com>

* fix(openai): honor tool_choice=none in DeepSeek encoders (sgl-project#43006)

Co-authored-by: ai-jz <ai-jz@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [diffusion] comfyui: run MiniMax H3, FastH3 and VDN in SGLD integrated mode (sgl-project#43504)

* [diffusion] fix: keep MiniMax-H3 VAE fused norms off ROCm (sgl-project#43350)

* [diffusion] fix: avoid redundant LoRA scaling while preserving exact numerics (sgl-project#43028)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* tokenizer perf optimization (sgl-project#39771)

Co-authored-by: BBuf <1182563586@qq.com>
Co-authored-by: Xinyuan Tong <xinyuantong.cs@gmail.com>

* [diffusion] perf: implement paint_use_remesh (decimate to 40k faces before UV unwrap) for Hunyuan3D (sgl-project#42770)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [AMD][Kimi-K3] Use public FlyDSL APIs in KDA decode kernels (sgl-project#43968)

Co-authored-by: wunhuang <wunhuang@amd.com>

* [AMD] Fix Flux2 kv-gather abort on non-contiguous K/V (sgl-project#43793)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [AMD] Fuse prefill index-Q RoPE fake-quant and fp4 quantize kernels in DSV4.1 (sgl-project#42911)

* [AMD][DI][CI] dsv4pro-fp8 2p1d-ep16-mtp: raise prefill mem fraction for MORI EP v2 memory (sgl-project#43944)

* [router] Fix power_of_two with --dp-aware (sgl-project#42027)

* [ROCm][Spec] Route NGRAM tree reconstruction to the JIT kernel on HIP (sgl-project#43328)

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Thomas Wang <thomawan@amd.com>

* [PD] Support heterogeneous TP for hybrid SWA KV transfer (sgl-project#40909)

* [Diffusion] Speed up LTX-2 guidance and video output (sgl-project#43667)

* [AMD][PD] enable mori transfer for PD decode DCP (sgl-project#37358)

Signed-off-by: inkcherry <mingzhi.liu@amd.com>
Co-authored-by: Duyi-Wang <duyi.wang@amd.com>
Co-authored-by: HAI <hixiao@gmail.com>
Co-authored-by: Shangming Cai <csmthu@gmail.com>

* [Docs] Cookbook: refresh SemiAnalysis AgentX launches (DeepSeek-V4.1 GB200/GB300, GLM-5.2 FP8 B300) (sgl-project#43983)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [PD][NIXL] Fix staging buffer startup by accepting slot_layer_ids (sgl-project#43723)

Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>

* [router] power_of_two: in-flight request load for --dp-aware decode (sgl-project#43483)

* [Perf] Enable fast-math for JIT activations on Blackwell (sgl-project#43236)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [NVIDIA][MegaMoE] Fix the default spec decoding moe backend when the target model uses flashinfer megamoe (sgl-project#40772)

Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>

* [HiCache][PD] Allow DSA index-K elision under HiCache and disaggregation (sgl-project#41769)

Co-authored-by: Anish Shanbhag <ashanbhag@nvidia.com>

* [CI] Use sgl-eval for GLM-5.3-Flash GSM8K tests (sgl-project#43975)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [FlashInfer] Add startup autotuning for MegaMoE (sgl-project#43789)

* [Perf] Compact GDN causal-conv grids for skewed prefill batches (sgl-project#43570)

* [AMD][CI] Run test_tracing.py in the extra tier, matching CUDA (sgl-project#43928)

Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* Fix EVS for NemotronH_Omni_Reasoning_V3 (sgl-project#42933)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>

* fix(multimodal): convert grayscale tensors to RGB in PIL backend (sgl-project#42127)

Co-authored-by: 周云昊 <zhouyunhao@zhouyunhaodeMacBook-Pro.local>

* [diffusion] comfyui: run Qwen-Image 2.1 in SGLD integrated mode (sgl-project#43581)

* [diffusion] feat: add configurable reference image resizing for MiniMax H3 Ref2VA (sgl-project#35839)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* Fix/compressed tensors nvfp4 hopper (sgl-project#40022)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>

* [NPU] [DOC] update kimi k3 cookbook and supported features on NPU (sgl-project#44052)

* [DSA] Q8KV8 FP8 Sparse Prefill on GLM-5.3-Flash with BF16 KV Cache (sgl-project#41790)

Co-authored-by: Xiaoyu Zhang <1182563586@qq.com>

* [CI] Run test_pi05_modelopt_fp8_cuda in the kernel-unit lane (sgl-project#44055)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* fix(openai): omit absent tool_calls from chat responses (sgl-project#43027)

Co-authored-by: ai-jz <ai-jz@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <xinyuantong.cs@gmail.com>

* Skip fully-masked KV tiles in sliding-window extend attention (sgl-project#39769)

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(openai): keep chat stream created timestamp stable (sgl-project#43026)

Co-authored-by: ai-jz <ai-jz@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* fix(openai): preserve zero cached tokens when cache reporting is enabled (sgl-project#43005)

Co-authored-by: ai-jz <ai-jz@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [AMD][DI][CI] glm52 2p1d-ep16: capture CUDA graph on decode (eager decode is too slow) (sgl-project#43977)

* [AMD][DI][CI] kimik26 2p1d-ep16: capture CUDA graph on decode (eager decode is slow) (sgl-project#43985)

* [perf] [multi-lora] remove empty CTAs from fused LoRA expand and add split-K to shrink (sgl-project#41951)

Co-authored-by: Yanbin Jiang <jybsuper@gmail.com>

* Rainj me/rust bench (sgl-project#43950)

* [Observability] Report per-request storage prefetch and staging waits in meta_info (sgl-project#43946)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: xiezhq-hermann <xiezhq-hermann@users.noreply.github.com>

* [lora] Support LoRA for the NemotronH_Nano_VL_V2 model family (sgl-project#39798)

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
Co-authored-by: Po-Han Huang <pohanh@nvidia.com>
Co-authored-by: Yanbin Jiang <jybsuper@gmail.com>

* [Rust] Refuse an unsupported multimodal model before the Rust listener binds (sgl-project#43925)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: shodoco <shodoco@users.noreply.github.com>

* [Core] Keep request priority within the signed 64-bit range in radix caches (sgl-project#43920)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: qandrew <qandrew@users.noreply.github.com>

* [DCP] Decode context parallelism for DSA (GLM-5.2 / GLM-5.3) with MTP (sgl-project#43735)

Co-authored-by: vincentzed <207368749+vincentzed@users.noreply.github.com>

* [HiCache] Block-group pool hits, caller-owned load destinations, allocation-target FULL eviction (sgl-project#43868)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: xiezhq-hermann <xiezhq-hermann@users.noreply.github.com>

* [Rust] Let an embedding package wrap the frontend HTTP app (sgl-project#43924)

Co-authored-by: hanminglu <hanminglu@users.noreply.github.com>
Co-authored-by: shodoco <shodoco@users.noreply.github.com>

* [Core] Add request-level customized_info keys and mark Full prefill capture batches (sgl-project#43772)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: jiayisuse <jiayisuse@users.noreply.github.com>

* [HiCache] Extract the buffer-mode prefetch and load-back lifecycle into pipeline operations (sgl-project#43870)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: xiezhq-hermann <xiezhq-hermann@users.noreply.github.com>

* [unified memory pool] Prefer SWA reclaim quotas with a HiCache storage backend or on PD decode (sgl-project#43919)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: ZYHowell <ZYHowell@users.noreply.github.com>

* [Rust] Serve any `model` name on the OpenAI chat and completions routes (sgl-project#43923)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: shodoco <shodoco@users.noreply.github.com>

* docs: add MiniCPM-V 4.7 cookbook (sgl-project#43829)

* [Feature] Add Aaronson-Gumbel text watermarking (sgl-project#37577)

Co-authored-by: Nihar Patel <nihpat95@gmail.com>

* [HiSparse] Add speculative decoding support with multi-step KV cache swapping (sgl-project#37771)

* [gRPC] Move runtime.v1 bindings to tonic 0.14, report OpenAI status codes, return text on request (sgl-project#42673)

Co-authored-by: Kan Wu <kan.wu@radixark.ai>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [DeepSeek-V4.1] Run decoder SWA bounded replay inside the breakable prefill CUDA graph (sgl-project#43736)

* fix(benchmark): request token IDs when counting OpenAI prompts (sgl-project#34511)

Co-authored-by: Zijie Xia <zijie.xia@radixark.ai>

* Mark FP32 redux asm volatile (sgl-project#44137)

* [Score] Send stacked GPU embedding overrides through a CUDA IPC pool (sgl-project#39730)

Co-authored-by: Sundara Raman Ramachandran <sundar24295@gmail.com>
Co-authored-by: hnyls2002 <lsyincs@gmail.com>

* [Feature] Return output top logprobs as flat base64 arrays on request (sgl-project#42890)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [DSV4.1] Support decoder SWA bounded replay with CUDA DP attention (sgl-project#43812)

* GLM5.2 DSA Indexer Fallback (sgl-project#32947)

Co-authored-by: Shu Wang <shuw@login-hecate03.hecate.clusters.nvidia.com>
Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>

* [Fix] Work around a CPython fork deadlock in the CPU preprocess pool (sgl-project#44143)

* [DSV4.1] Skip Mega mHC fusion on 0-row (DP-idle) batches (sgl-project#43993)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [Chore] release: Cherry-pick [Disagg] Return prompt routed experts from the PD prefill server to release/v0.5.22 (sgl-project#44002) (sgl-project#44212)

Co-authored-by: William Arnold <7565007+Aphoh@users.noreply.github.com>
Co-authored-by: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: ishandhanani <82981111+ishandhanani@users.noreply.github.com>

* [Chore] release: Cherry-pick [CI] glm5.2: Temporarily disable PD HiSparse+MTP B300 test to release/v0.5.22 (sgl-project#44192) (sgl-project#44214)

Co-authored-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>
Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [XPU] Fix FP8 KV cache support for ModelOpt quantized models (e.g. Llama-3.3-70B-FP8)

* [XPU] Add MXFP4 W4A16 MoE inference support for Intel Xe2 (GPT-OSS)

Enable MXFP4 quantized inference on XPU using the native Xe2 SYCL
fused_experts kernel (sgl-kernel-xpu PR#184).

- quantization/__init__.py: register mxfp4 quantization method for XPU
- quantization/fp4_utils.py: broaden flashinfer import exception to avoid
  crash on XPU where flashinfer is unavailable
- quantization/mxfp4.py:
  - align intermediate size to 64 for XPU (create_weights)
  - skip CPU dequant on XPU; leave weights as packed uint8 in VRAM
    (process_weights_after_loading)
  - add XPU dispatch in apply(): call sgl_kernel.fused_experts with
    use_mxfp4_w4a16=True; convert UE8M0 uint8 scales to float32 via
    exp2(uint8 - 127); default gemm1_alpha=1.702 / gemm1_limit=7.0 to
    select activation_type=2 (ACT_SWIGLU_GPT_OSS, interleaved weight
    layout required by GPT-OSS MXFP4 checkpoints)
- models/gpt_oss.py: replace hardcoded .cuda() with .to(get_device())
  in weight loading to support XPU

* [XPU] Improvement for fp4 and fp8

 Optimize FP8 KV cache: lazy mirror buffer to avoid full cast per step
 Fix MXFP4 MoE: read activation/gemm1 params from model config instead of GPT-OSS hardcoded values

* Remove WA for FP8 KV cache

* Add analyze support for XPU

* [Intel][XPU] Allow mamba extra_buffer radix cache strategy on XPU (#9)

Co-authored-by: root <root@gnrsp-bmg3.iind.intel.com>

---------

Signed-off-by: siliangchen-amd <SiLiang.Chen@amd.com
Signed-off-by: Sage Ahrac <sagiahrak@gmail.com>
Signed-off-by: Phoenix3334 <Phoenix3334@users.noreply.github.com>
Signed-off-by: Banruo Liu <lichangxinlivingshade@gmail.com>
Signed-off-by: Xucheng Zhou <aden1350@outlook.com>
Signed-off-by: JohnQinAMD <yanyuan.qin@amd.com>
Signed-off-by: apex-mochen <2756823972@qq.com>
Signed-off-by: inkcherry <mingzhi.liu@amd.com>
Co-authored-by: Mick <mickjagger19@icloud.com>
Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Raymond Huang <103474329+Raymondlol@users.noreply.github.com>
Co-authored-by: Frederik Gossen <frgossen@meta.com>
Co-authored-by: YAMY <74099316+YAMY1234@users.noreply.github.com>
Co-authored-by: Yuwei An <ayw.sirius19@gmail.com>
Co-authored-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>
Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>
Co-authored-by: cctry <csycfl@gmail.com>
Co-authored-by: tao <yuanyitao@pku.edu.cn>
Co-authored-by: Richard Wang <wangrichard08@gmail.com>
Co-authored-by: mohbasit <mohbasit@amd.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: HAI <hixiao@gmail.com>
Co-authored-by: chuyeh <chuyeh@amd.com>
Co-authored-by: siliangchen-amd <SiLiang.Chen@amd.com>
Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>
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diffusion SGLang Diffusion run-ci CI: run the baseline test suite on this PR

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[diffusion] MiniMax-H3 quality="high" runs on Turbo-LoRA-merged weights — the audit gate has no adapter field

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