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Merged
merged 10 commits into from
Mar 4, 2025

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kushanam
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@kushanam kushanam commented Feb 25, 2025

This PR adds support for cutlass blackwell gemm for fp8
A couple of notes:
1- The sm100_fp8_config_default is the only supported config for now with static tile and cluster shapes. Consequent PRs will support optimized configs for other shapes. Also 2xsm gemm will be added.
2- added default constructors for c2x and c3x kernels, some build environments treat the missed constructor warning as error

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Thanks for the contribution @kushanam! Looks good overall, left a few comments/questions

Comment on lines 76 to 83
using StrideC = typename Gemm::StrideC;
using StrideC = typename Gemm::GemmKernel::StrideC;

StrideA a_stride{lda, cute::Int<1>{}, 0};
StrideB b_stride{ldb, cute::Int<1>{}, 0};
StrideC c_stride{ldc, cute::Int<1>{}, cute::Int<0>{}};
// StrideC c_stride{ldc, cute::Int<1>{}, cute::Int<0>{}};
StrideC c_stride =
cutlass::make_cute_packed_stride(StrideC{}, cute::make_shape(ldc, 1, 0));
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Could you explain this change?

Comment on lines 105 to 103
using ElementD = ElementD_;
using LayoutD = cutlass::layout::ColumnMajor;
static constexpr int AlignmentD =
128 / cutlass::sizeof_bits<ElementD_>::value;
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We've been setting AlignmentD to 4 to reduce the alignment requirement of these kernels. Can this be 4 instead of 8? Also, do you know what the performance considerations to this are?

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@kushanam kushanam Feb 25, 2025

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Generally 128-bit alignment (i.e. 8 for 16-bit data types) is required for best TMA perf, 4 might work but perf will suffer and It's the same between Hopper and Blackwell

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At first glance, this looks very similar to csrc/cutlass_extensions/epilogue/scaled_mm_epilogues_c3x.hpp. Why can't it be the same code?

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BW doesn't like EpilogueDescriptor. On the other hand the only use for EpilogueDescriptor in scaled_mm_epilogues_c3x seems to be tile shapes, so alternatively we could get rid of it all together and keep all under the same file

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Yep that's the only use.

we could get rid of it all together and keep all under the same file

I think that's the right move. Could you make that change in this PR?

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For sure!

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done.

CMakeLists.txt Outdated
Comment on lines 302 to 310
cuda_archs_loose_intersection(SCALED_MM_3X_ARCHS "9.0a;10.0a;10.1a;12.0a" "${CUDA_ARCHS}")
if(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER 12.0 AND SCALED_MM_3X_ARCHS)
set(SRCS
"csrc/quantization/cutlass_w8a8/scaled_mm_c3x.cu"
"csrc/quantization/cutlass_w8a8/c3x/scaled_mm_sm90_fp8.cu"
"csrc/quantization/cutlass_w8a8/c3x/scaled_mm_sm90_int8.cu"
"csrc/quantization/cutlass_w8a8/c3x/scaled_mm_azp_sm90_int8.cu"
"csrc/quantization/cutlass_w8a8/c3x/scaled_mm_blockwise_sm90_fp8.cu")
"csrc/quantization/cutlass_w8a8/c3x/scaled_mm_blockwise_sm90_fp8.cu"
"csrc/quantization/cutlass_w8a8/c3x/scaled_mm_sm100_fp8.cu")
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Here we'll have to guard against compilation of scaled_mm_sm100_fp8.cu when CUDA < 12.8

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mergify bot commented Feb 27, 2025

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @kushanam.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

@mergify mergify bot added the needs-rebase label Feb 27, 2025
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Thanks, looks great to me now! Could you merge in the changes from latest main?

Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>
@tlrmchlsmth tlrmchlsmth enabled auto-merge (squash) March 2, 2025 20:12
@github-actions github-actions bot added the ready ONLY add when PR is ready to merge/full CI is needed label Mar 2, 2025
Comment on lines 75 to 94
void cutlass_scaled_mm_sm100(torch::Tensor& c, torch::Tensor const& a,
torch::Tensor const& b,
torch::Tensor const& a_scales,
torch::Tensor const& b_scales,
std::optional<torch::Tensor> const& bias) {
TORCH_CHECK(a_scales.dtype() == torch::kFloat32);
TORCH_CHECK(b_scales.dtype() == torch::kFloat32);

int M = a.size(0), N = b.size(1), K = a.size(1);
TORCH_CHECK(
(a_scales.numel() == 1 || a_scales.numel() == a.size(0)) &&
(b_scales.numel() == 1 || b_scales.numel() == b.size(1)),
"Currently, block scaled fp8 gemm is not implemented for Blackwell");

// Standard per-tensor/per-token/per-channel scaling
TORCH_CHECK(a_scales.is_contiguous() && b_scales.is_contiguous());
TORCH_CHECK(a.dtype() == torch::kFloat8_e4m3fn,
"Currently, only fp8 gemm is implemented for Blackwell");
vllm::cutlass_scaled_mm_sm100_fp8(c, a, b, a_scales, b_scales, bias);
}
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We might need to ifdef this out when CUDA < 12.8

Comment on lines 127 to 134
#if defined ENABLE_SCALED_MM_C3X && ENABLE_SCALED_MM_C3X
if (version_num >= 90) {
if (version_num >= 90 && version_num < 100) {
cutlass_scaled_mm_sm90(c, a, b, a_scales, b_scales, bias);
return;
} else if (version_num >= 100) {
cutlass_scaled_mm_sm100(c, a, b, a_scales, b_scales, bias);
return;
}
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This is causing linker errors in the CI. Need to guard against calling cutlass_scaled_mm_sm100 when CUDA < 12.8

Something like this:

#if defined ENABLE_SCALED_MM_C3X && ENABLE_SCALED_MM_C3X

#if defined CUDA_VERSION && CUDA_VERSION >= 12800
  if (version_num >= 90) {
    cutlass_scaled_mm_sm90(c, a, b, a_scales, b_scales, bias);
    return;
  }
#else
  if (version_num >= 90 && version_num < 100) {
    cutlass_scaled_mm_sm90(c, a, b, a_scales, b_scales, bias);
    return;
  } else if (version_num >= 100) {
    cutlass_scaled_mm_sm100(c, a, b, a_scales, b_scales, bias);
    return;
  }
#endif

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There are some linker errors when CUDA < 12.8 that need to be addressed. (I left some inline comments)

This made me realize we need to add guards/fallbacks/warnings when running on a Blackwell GPU but using a kernel compiled with CUDA < 12.8, as currently we will try to run the non-forward-compatible kernels for sm90a. That doesn't need to happen in this PR but @kushanam do you have any thoughts there?

Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>
Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>
Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>
auto-merge was automatically disabled March 4, 2025 02:51

Head branch was pushed to by a user without write access

pathorn pushed a commit to deepinfra/vllm that referenced this pull request Mar 4, 2025
@tlrmchlsmth tlrmchlsmth enabled auto-merge (squash) March 4, 2025 03:13
@vllm-bot vllm-bot merged commit f89978a into vllm-project:main Mar 4, 2025
59 of 61 checks passed
@kushanam kushanam deleted the blackwell_fp8 branch March 4, 2025 17:23
Alexei-V-Ivanov-AMD added a commit to ROCm/vllm that referenced this pull request Mar 11, 2025
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Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>

* [CI/Build] Use uv python for docker rather than ppa:deadsnakes/ppa (vllm-project#13569)

Signed-off-by: mgoin <mgoin64@gmail.com>

* [CI] Disable spawn when running V1 Test (vllm-project#14345)

Signed-off-by: Thomas Parnell <tpa@zurich.ibm.com>

* [Kernel] Add needs_fixed_stride_order tag to most GEMMs (vllm-project#14306)

Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>

* [Bugfix] Fix use_direct_call condition in FusedMoE layer for  (vllm-project#14382)

Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>

* [Bug] Fix Attention when ignored in by quant_method (vllm-project#14313)

Signed-off-by: mgoin <mgoin64@gmail.com>

* [V1][Bugfix] Standardize quantized kv cache rejection for attention backends (vllm-project#14221)

Signed-off-by: mgoin <mgoin64@gmail.com>

* [Docs] Add nsight guide to profiling docs (vllm-project#14298)

Signed-off-by: mgoin <mgoin64@gmail.com>

* cleanup boolean logic

Signed-off-by: Sage Moore <sage@neuralmagic.com>

* [Hardware][TPU]Enable ragged paged attention kernel and resolve recompilation issue (vllm-project#14310)

Signed-off-by: Chengji Yao <chengjiyao@google.com>

* [Doc] Fix a typo (vllm-project#14385)

* [Bugfix] Correctly call `cudaProfilerStop` in benchmarks script (vllm-project#14183)

Signed-off-by: Brayden Zhong <b8zhong@uwaterloo.ca>

* [Perf] Reduce MLA CPU overheads in V1 (vllm-project#14384)

Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com>
Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>

* [FP8] Refactor apply_fp8_linear and apply_fp8_linear_generic into an object (vllm-project#14390)

Signed-off-by: luka <luka@neuralmagic.com>

* [BugFix] Illegal Memory Access in the blockwise cutlass fp8 GEMMs (vllm-project#14396)

* [Bugfix] Fix JambaForCausalLM LoRA  (vllm-project#14370)

Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>

* [Build] Add nightly wheel fallback when latest commit wheel unavailable (vllm-project#14358)

Signed-off-by: Isotr0py <2037008807@qq.com>

* OpenVINO: added CPU-like conditions (vllm-project#14338)

Signed-off-by: Ilya Lavrenov <ilya.lavrenov@intel.com>

* [GH] Auto-apply multi-modality label to relevant PRs (vllm-project#14402)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

* correct wrong markdown syntax (vllm-project#14414)

Signed-off-by: vincent-pli <justdoit.pli@gmail.com>

* [Bugfix] Further clean up LoRA test (vllm-project#14422)

Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>

* [Bugfix] Clean up multi-modal processors (vllm-project#14417)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

* [Misc] Set default value of seed to None (vllm-project#14274)

Signed-off-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>

* [BUGFIX] Skip tokenization support for throughput benchmark (vllm-project#12712)

Signed-off-by: root <root@banff-cyxtera-s73-5.ctr.dcgpu>
Signed-off-by: Aleksandr Malyshev <maleksan@amd.com>
Co-authored-by: root <root@banff-cyxtera-s73-5.ctr.dcgpu>
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* Fix missing `kv_caches` and `attn_metadata` in `OpenVINOCausalLM` (vllm-project#14271)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

* Use the optimized block sizes after tuning the kernel. (vllm-project#14329)

* [V1][Core] Support for Structured Outputs (vllm-project#12388)

Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
Signed-off-by: Russell Bryant <rbryant@redhat.com>
Co-authored-by: Russell Bryant <rbryant@redhat.com>
Co-authored-by: Michael Goin <mgoin64@gmail.com>
Co-authored-by: Nick Hill <nhill@redhat.com>

* [Doc] Update prefix_caching.md to match the example image (vllm-project#14420)

* [Benchmarks] Make detokenization optional in benchmark scripts (vllm-project#11697)

Signed-off-by: Jeremy Arnold <Jeremy.Arnold@amd.com>

* comments

Signed-off-by: Sage Moore <sage@neuralmagic.com>

* [Kernel] optimize performance of gptq marlin kernel when n is small (vllm-project#14138)

Signed-off-by: Jinzhen Lin <linjinzhen@hotmail.com>

* [Misc] Add Phi4-MM example (vllm-project#14343)

Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>

* [v1] torch.compile integration explanation (vllm-project#14437)

Signed-off-by: youkaichao <youkaichao@gmail.com>

* [V1] Eagerly remove finished requests from the batch (vllm-project#14388)

Signed-off-by: Nick Hill <nhill@redhat.com>

* [V1][Metrics] Fix traceback with preemptions+LoRA (vllm-project#14220)

Signed-off-by: Mark McLoughlin <markmc@redhat.com>

* [Bugfix] Fix torch_xla which can't handle None seed introduced in vllm-project#14274 (vllm-project#14459)

Signed-off-by: Yarong Mu <ymu@google.com>

* [V1] Prompt logprobs + APC compatibility; prompt logprobs reqs cannot fill APC (vllm-project#13949)

* [Bugfix][V1] Handle MLA in kv_cache_interface (vllm-project#14462)

Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>

* Revert "[Perf] Reduce MLA CPU overheads in V1 (vllm-project#14384)" (vllm-project#14471)

* [Bugfix][Disaggregated] Add a check in send_kv_caches_and_hidden_states and fix the reshape of the KVCache (vllm-project#14369)

Signed-off-by: Mathis Felardos <mathis@mistral.ai>

* [MISC][V1] Register process killing handler only in the main thread (vllm-project#14380)

Signed-off-by: Cody Yu <hao.yu.cody@gmail.com>

* [core] add `extra_args` to `SamplingParams` (vllm-project#13300)

Signed-off-by: Aviv Keshet <akeshet@scaledcognition.com>

* [CI/Build] refactor: set timezone of container to UTC (vllm-project#12888)

Signed-off-by: Roger Meier <r.meier@siemens.com>

* Default to `generation_config` from model (vllm-project#12622)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

* [Doc]add doc for Qwen models tool calling (vllm-project#14478)

Signed-off-by: WangErXiao <863579016@qq.com>

* [Doc] Added QwQ-32B to the supported models list in the reasoning out… (vllm-project#14479)

Signed-off-by: WangErXiao <863579016@qq.com>

* [Bugfix] Make the deviceprofiler include LoRA memory. (vllm-project#14469)

Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>

* Add training doc signposting to TRL (vllm-project#14439)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

* [Build/BugFix] Fix hopper 12.8 build (vllm-project#14354)

Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com>
Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>
Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com>

* Add RLHF document (vllm-project#14482)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

* [CI/Build] Use a fixed seed to avoid flaky tests (vllm-project#14480)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

* [V1] TPU - Add tensor parallel support via Ray (vllm-project#13618)

Signed-off-by: Alexander Matveev <amatveev@redhat.com>

* [VLM] Add TP support for Phi-4-MM (vllm-project#14453)

Signed-off-by: Isotr0py <2037008807@qq.com>

* [Misc] add `use_tqdm_on_load` to reduce logs (vllm-project#14407)

Signed-off-by: Aaron Pham <contact@aarnphm.xyz>

* [V1][Core] Fix memory issue with logits & sampling (vllm-project#13776)

Signed-off-by: Roger Wang <ywang@roblox.com>

* [benchmarks] Add option to use unique jsonschema for each request (vllm-project#14457)

Signed-off-by: Russell Bryant <rbryant@redhat.com>

* [Misc] Don't run ruff at all on 3rd party libs (vllm-project#14493)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

* Move requirements into their own directory (vllm-project#12547)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

* [Bugfix] DeepSeek Accuracy (vllm-project#14476)

Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>

* [Bugfix] Fix profiling OOM and decouple encoder multimodal profiling (vllm-project#14361)

Signed-off-by: Isotr0py <2037008807@qq.com>

* Update CODEOWNERS for structured output (vllm-project#14496)

Signed-off-by: Russell Bryant <rbryant@redhat.com>

* [Misc] Upgrade to Python 3.9 typing for additional directories (vllm-project#14492)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

* [V1] Support bad_words in sampler (vllm-project#13376)

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* Revert "[V1][Core] Fix memory issue with logits & sampling" (vllm-project#14504)

Signed-off-by: Roger Wang <ywang@roblox.com>
Co-authored-by: Roger Wang <ywang@roblox.com>

* [Attention] Default to FlashMLA backend for MLA (vllm-project#14451)

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Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>
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* [V1][TPU] Remove unnecessary padding for running on TPU. (vllm-project#14467)

* [Feat] Support chunked prefill for LMCache connector (vllm-project#14505)

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* [Bugfix] Fix tqdm progress bar when SamplingParams.n > 1 (vllm-project#12428)

Signed-off-by: Yuchen Yan <740987012@qq.com>

* [Bugfix] Revert QKVCrossParallelLinear usage in Mllama to keep BNB quantization work (vllm-project#14498)

Signed-off-by: Isotr0py <2037008807@qq.com>

* [Hardware][TPU] Fix the recompiling issue in logits processor after warmup (vllm-project#14510)

Signed-off-by: Chengji Yao <chengjiyao@google.com>

* [Misc] Ensure out-of-tree quantization method recognize by cli args (vllm-project#14328)

Signed-off-by: liuyanyi <wolfsonliu@163.com>

* [Bugfix] Wrong requirements path - rocm (vllm-project#14527)

Signed-off-by: Martin Hoyer <mhoyer@redhat.com>

* [Feature] Consolidate performance benchmark datasets (vllm-project#14036)

Signed-off-by: Jennifer Zhao <7443418+JenZhao@users.noreply.github.com>
Signed-off-by: Roger Wang <ywang@roblox.com>
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* [Misc] Add log information for handle_process_request. (vllm-project#14130)

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* [Docs] Mention `model_impl` arg when explaining Transformers fallback (vllm-project#14552)

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* [Frontend] support image embeds (vllm-project#13955)

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* [Kernel] Add more dtype support for GGUF kernels (vllm-project#14043)

Signed-off-by: SzymonOzog <szymon.ozog@aleph-alpha.com>
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* [Doc] Update PaliGemma note to a warning (vllm-project#14565)

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* V1 rocm support (#469)

* Initial commit for V1 successfull compilation

* Small improvement for linear

* Small improvement for linear

* making use of forward_cuda for all except ROPE in llama

---------

Co-authored-by: maleksan85 <maleksan@amd.com>

* nightly_fixed_aiter_integration_final_20250305 README update (#470)

* nightly_fixed_aiter_integration_final_20250305 README update (perf results only)

* Update Docker Manifest git hash

* Update Docker Manifest and added nightly_fixed_aiter_integration_final_20250305

* some more updates

* Update AITER section with example

* Updated AITER command with larger batch size and model name

* Fixing typo

* Removed --max-model-len in AITER command

* Updating AITER instructions

* typo

* Another typo

* Whitespace

* modifying whats new section

* Another typo

---------

Co-authored-by: arakowsk-amd <182798202+arakowsk-amd@users.noreply.github.com>
Co-authored-by: Gregory Shtrasberg <156009573+gshtras@users.noreply.github.com>

---------

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Co-authored-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
Co-authored-by: Aleksandr Malyshev <164964928+maleksan85@users.noreply.github.com>
Co-authored-by: root <root@banff-cyxtera-s73-5.ctr.dcgpu>
Co-authored-by: Aleksandr Malyshev <maleksan@amd.com>
Co-authored-by: Aaron Pham <contact@aarnphm.xyz>
Co-authored-by: York-RDWang <103811994+York-RDWang@users.noreply.github.com>
Co-authored-by: Jeremy Arnold <103538711+JArnoldAMD@users.noreply.github.com>
Co-authored-by: Jinzhen Lin <linjinzhen@hotmail.com>
Co-authored-by: yarongmu-google <150371854+yarongmu-google@users.noreply.github.com>
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Co-authored-by: Aviv Keshet <akeshet@scaledcognition.com>
Co-authored-by: Roger Meier <r.meier@siemens.com>
Co-authored-by: Robin <863579016@qq.com>
Co-authored-by: Alexander Matveev <59768536+alexm-redhat@users.noreply.github.com>
Co-authored-by: 22quinn <33176974+22quinn@users.noreply.github.com>
Co-authored-by: Roger Wang <ywang@roblox.com>
Co-authored-by: Jiayi Yao <82156730+YaoJiayi@users.noreply.github.com>
Co-authored-by: Yuchen Yan <50619811+yanyc428@users.noreply.github.com>
Co-authored-by: Martin Hoyer <mhoyer@redhat.com>
Co-authored-by: Jennifer Zhao <JenZhao@users.noreply.github.com>
Co-authored-by: Jennifer Zhao <7443418+JenZhao@users.noreply.github.com>
Co-authored-by: Chauncey <chaunceyjiang@gmail.com>
Co-authored-by: Szymon Ożóg <58388001+SzymonOzog@users.noreply.github.com>
Co-authored-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com>
Co-authored-by: Gregory Shtrasberg <156009573+gshtras@users.noreply.github.com>
Co-authored-by: Mcirino1 <57415822+Mcirino1@users.noreply.github.com>
Co-authored-by: arakowsk-amd <182798202+arakowsk-amd@users.noreply.github.com>
captainzmc pushed a commit to captainzmc/vllm that referenced this pull request Mar 12, 2025
lulmer pushed a commit to lulmer/vllm that referenced this pull request Apr 7, 2025
Signed-off-by: Louis Ulmer <ulmerlouis@gmail.com>
shreyankg pushed a commit to shreyankg/vllm that referenced this pull request May 3, 2025
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