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merged 20 commits into from
Jun 12, 2025

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@yewentao256 yewentao256 commented Jun 5, 2025

Essential Elements of an Effective PR Description Checklist

  • The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
  • The test plan, such as providing test command.
  • The test results, such as pasting the results comparison before and after, or e2e results

Motivation

The scaled_int8_quant kernel family still relied on scalar loads/stores, leaving significant throughput untapped. Issue #18866 highlighted vectorization as the next major opportunity. Thank @mgoin for the great issue!

And thank @ztang2370 for the good start #19062, #19109 by @mgoin for the great incremental compilation document.

What’s in this PR

  1. Kernel vectorization (VEC_SIZE = 16)
    • static_scaled_int8_quant_kernel
    • static_scaled_int8_azp_quant_kernel
    • dynamic_scaled_int8_quant_kernel
    • dynamic_scaled_int8_azp_quant_kernel

Make a abstraction in csrc/quantization/vectorization_utils.cuh so that this func can be reused later.

  1. Zero-point refactor

    • Merges the min/max scan with the quantization loop to cut one global-memory pass.
  2. Benchmark tooling

    • Adds benchmarks/kernels/bench_int8_gemm.py for side-by-side BF16 vs. INT8 micro-benchmarks.

Test

Tested on H100:

Accuracy validation: lm_eval --model vllm --model_args pretrained=RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8,max_model_len=32768 --trust_remote_code --tasks gsm8k --num_fewshot 5 --batch_size auto

before:

|Tasks|Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
|-----|------:|----------------|-----:|-----------|---|-----:|---|-----:|
|gsm8k|      3|flexible-extract|     5|exact_match||0.7733|±  |0.0115|
|     |       |strict-match    |     5|exact_match||0.7604|±  |0.0118|

after:

|Tasks|Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
|-----|------:|----------------|-----:|-----------|---|-----:|---|-----:|
|gsm8k|      3|flexible-extract|     5|exact_match||0.7733|±  |0.0115|
|     |       |strict-match    |     5|exact_match||0.7604|±  |0.0118|

End to end throughput: vllm bench throughput --model RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8 --load-format dummy --input-len 1000 --output-len 100 --max-model-len 32768

before:

Throughput: 35.31 requests/s, 38822.03 total tokens/s, 3531.41 output tokens/s
Throughput: 34.61 requests/s, 38026.74 total tokens/s, 3461.44 output tokens/s

after:

Throughput: 37.93 requests/s, 41685.29 total tokens/s, 3792.61 output tokens/s
Throughput: 38.57 requests/s, 42403.11 total tokens/s, 3856.95 output tokens/s

Kernel flops test with bench_int8_gemm.py

Before:

batch_size torch-bf16 int8-tensor-w-tensor-a int8-channel-w-token-a int8-tensor-w-tensor-a-noquant int8-channel-w-token-a-noquant
1 3.03654 3.92181 3.60902 5.25341 5.21451
16 57.3562 63.2098 59.7113 86.128 87.9333
64 234.556 253.902 238.535 352.491 356.684
128 285.766 384.991 367.512 487.873 496.294
256 462.462 531.309 500.083 639.285 648.289
512 702.442 865.719 790.126 1251.02 1253.05
1024 720.504 903.559 814.465 1280.2 1322.11
2048 689.227 936.958 849.424 1318.31 1303.01
4096 723.089 965.33 883.938 1527.99 1404.14
8192 742.027 949.993 872.24 1470.08 1351.67
16384 701.668 953.361 877.533 1433.51 1332.62

After:

batch_size torch-bf16 int8-tensor-w-tensor-a int8-channel-w-token-a int8-tensor-w-tensor-a-noquant int8-channel-w-token-a-noquant
1.00 3.03 3.87 2.98 5.29 5.23
16.00 57.55 62.83 48.69 86.51 88.29
64.00 226.81 250.57 192.12 354.63 358.78
128.00 283.94 383.05 313.06 499.55 503.99
256.00 463.65 525.42 450.55 641.67 647.82
512.00 672.04 934.00 769.39 1265.80 1266.29
1024.00 684.19 1001.14 841.92 1321.50 1301.72
2048.00 707.74 1071.18 873.07 1311.56 1296.30
4096.00 728.31 1111.62 913.55 1530.56 1468.94
8192.00 743.42 1094.42 902.95 1475.45 1432.45
16384.00 720.14 1102.09 917.71 1481.84 1440.72

Unit test:

pytest test_int8_quant.py 
============================== test session starts ==============================
platform linux -- Python 3.12.11, pytest-8.4.0, pluggy-1.6.0
rootdir: /home/wentao/vllm-source
configfile: pyproject.toml
plugins: anyio-4.9.0
collected 1346 items                                                            

test_int8_quant.py ...................................................... [  4%]
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======================= 1346 passed in 252.81s (0:04:12) ========================

Signed-off-by: yewentao256 <zhyanwentao@126.com>
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Hello @yewentao256, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

Summary of Changes

Hello everyone, gemini-code-assist here to provide a summary of this pull request. This PR focuses on performance optimizations for the int8 quantization kernels within vLLM. The primary goal is to improve the throughput and efficiency of models using int8 quantization, addressing issue #18866. The changes involve implementing vectorization techniques in the CUDA kernels responsible for quantization and adding a new benchmark script to measure the performance gains of these kernels.

Highlights

  • Kernel Vectorization: The core optimization involves applying vectorization using vec_n_t (specifically VEC_SIZE = 16) to the CUDA kernels for static and dynamic int8 quantization (static_scaled_int8_quant_kernel, dynamic_scaled_int8_quant_kernel, dynamic_scaled_int8_azp_quant_kernel). This allows the kernels to process multiple elements simultaneously, improving data throughput on the GPU.
  • New Benchmark Script: A new benchmark script (benchmarks/kernels/bench_int8_gemm.py) has been added. This script uses Triton to compare the performance (TFLOP/s) of BF16 GEMM against various int8 GEMM configurations (per-tensor, per-channel, with/without activation quantization time) across different batch sizes.
  • Performance Improvements: The PR description includes benchmark results showing notable improvements. End-to-end throughput increased from ~35 req/s to ~40 req/s for the tested model. Kernel benchmarks also show increased TFLOP/s for the optimized int8 kernels, particularly at larger batch sizes.

Changelog

  • benchmarks/kernels/bench_int8_gemm.py
    • Added a new Triton benchmark script to compare BF16 and int8 GEMM kernel performance.
    • Includes benchmarking for different int8 quantization schemes (per-tensor, per-channel) and activation quantization timings.
    • Configured to run benchmarks for specified models and tensor parallel sizes.
  • csrc/quantization/compressed_tensors/int8_quant_kernels.cu
    • Included ../vectorization.cuh (line 6).
    • Implemented vectorization (VEC_SIZE = 16) in static_scaled_int8_quant_kernel for improved data processing (lines 111-142).
    • Implemented vectorization (VEC_SIZE = 16) in dynamic_scaled_int8_quant_kernel for the absmax scan and quantization loop (lines 194-251).
    • Added MinMax struct and MinMaxOp for efficient min/max reduction in dynamic AZP kernel (lines 254-263).
    • Implemented vectorization (VEC_SIZE = 16) in dynamic_scaled_int8_azp_quant_kernel for the min/max scan and quantization loop (lines 269-348).
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Kernels run fast,
Int8 math, a quick blast,
Vector lanes wide,
Performance takes stride,
Latency's shadow is cast.

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Code Review

This pull request introduces significant performance optimizations to the int8 quantization kernels, backed by comprehensive benchmark results showing notable throughput improvements without accuracy degradation. The core changes involve vectorizing CUDA kernels, which is a standard and effective approach for performance enhancement on GPUs.

The new benchmark script (bench_int8_gemm.py) is a valuable addition for quantifying these improvements across various configurations.

The CUDA kernel modifications in int8_quant_kernels.cu appear solid, incorporating vectorization, pre-calculation of inverse scales, and optimized reduction strategies (like combined Min/Max). These changes are well-aligned with the reported performance gains.

One area for potential clarification/improvement is within the benchmark script concerning the setup for "per-channel" weight quantization scenarios. This is detailed in a specific comment.

Overall, great work on these optimizations!

Summary of Findings

  • Benchmark Clarity for Per-Channel Quantization: The benchmark setup for 'per-channel' weight quantization modes (e.g., int8-channel-w-token-a) appears to use a single scale factor for quantizing weights, which is then broadcast to a per-channel format for the matrix multiplication. This might not reflect true per-channel quantization where weights are quantized with distinct scales per channel. Clarification on whether this setup is intentional or if it should be adjusted for more realistic per-channel weight quantization benchmarking would be beneficial.

Merge Readiness

The core kernel optimizations in this PR are well-implemented and show significant performance benefits. There is one medium-severity point regarding the setup of 'per-channel' quantization benchmarks that would be good to clarify or address to ensure the benchmarks accurately reflect the intended scenarios. Once this point is resolved, the PR should be in good shape for merging. I am unable to approve the pull request, so please have others review and approve this code before merging.

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Signed-off-by: yewentao256 <zhyanwentao@126.com>
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Looks reasonable to me.

Would leave this to our kernel expert: @chenyang78, @mgoin, @tlrmchlsmth, and @LucasWilkinson to review.

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Nice work overall! I'd like to see the PR title and description to have more context on what exactly the changes are to achieve this "optimization", and what hardware it was tested on to give context to the performance numbers.

I also would like to see an expansion to the test cases in vllm/tests/kernels/quantization/test_int8_quant.py to included these vectorization test cases from test_fp8_quant.py

HIDDEN_SIZES += list(range(1024, 1033)) # vectorized conversion edge cases

@@ -107,16 +108,37 @@ template <typename scalar_t, typename scale_type>
__global__ void static_scaled_int8_quant_kernel(
scalar_t const* __restrict__ input, int8_t* __restrict__ out,
scale_type const* scale_ptr, const int hidden_size) {
int const VEC_SIZE = 16;
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I think it would be best to use constexpr here, in case it matters to the compiler for the #pragma unroll later. At least I did this for fp8 i.e. constexpr size_t VEC_SIZE = 16;

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Fixed, thanks! Made a common function vectorize_with_alignment for it to avoid this mistake

Comment on lines 305 to 309
// reduce the min and max values across the block in one go
using BlockReduce = cub::BlockReduce<MinMax, 1024>;
__shared__ typename BlockReduce::TempStorage reduce_storage;
MinMax block_min_max =
BlockReduce(reduce_storage).Reduce(thread_min_max, MinMaxOp());
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Nice idea!

@yewentao256 yewentao256 changed the title [Perf] Optimizations for int8 quant kernels [Perf] Vectorize static / dynamic INT8 quant kernels (VEC_SIZE = 16) & zero-point refactor — +17 % e2e throughput on NVIDIA H100 Jun 6, 2025
@yewentao256 yewentao256 changed the title [Perf] Vectorize static / dynamic INT8 quant kernels (VEC_SIZE = 16) & zero-point refactor — +17 % e2e throughput on NVIDIA H100 [Perf] Vectorize static / dynamic INT8 quant kernels (VEC_SIZE = 16) & zero-point refactor — +15 % e2e throughput on NVIDIA H100 Jun 6, 2025
Signed-off-by: yewentao256 <zhyanwentao@126.com>
Signed-off-by: yewentao256 <zhyanwentao@126.com>
Signed-off-by: yewentao256 <zhyanwentao@126.com>
@yewentao256 yewentao256 requested a review from WoosukKwon as a code owner June 6, 2025 22:45
@yewentao256 yewentao256 changed the title [Perf] Vectorize static / dynamic INT8 quant kernels (VEC_SIZE = 16) & zero-point refactor — +15 % e2e throughput on NVIDIA H100 [Perf] Vectorize static / dynamic INT8 quant kernels (VEC_SIZE = 16) & zero-point refactor — +10 % e2e throughput on NVIDIA H100 Jun 6, 2025
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yewentao256 commented Jun 6, 2025

Nice work overall! I'd like to see the PR title and description to have more context on what exactly the changes are to achieve this "optimization", and what hardware it was tested on to give context to the performance numbers.

I also would like to see an expansion to the test cases in vllm/tests/kernels/quantization/test_int8_quant.py to included these vectorization test cases from test_fp8_quant.py

HIDDEN_SIZES += list(range(1024, 1033)) # vectorized conversion edge cases

@mgoin Thanks for the review, your insight is really valuable!

I did one step further and make a common function vectorize_with_alignment abstraction so that this could be used in somewhere else (next pr), please take a look.

@yewentao256 yewentao256 closed this Jun 6, 2025
@yewentao256 yewentao256 reopened this Jun 6, 2025
Signed-off-by: yewentao256 <zhyanwentao@126.com>
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Looks good overall, just a few thoughts:

Comment on lines +67 to +71
# Dynamic per-token quant for A, static per-tensor quant for B
scale_b = torch.tensor([1.0], device=device, dtype=torch.float32)
b_int8, scale_b_int8, _ = vllm_scaled_int8_quant(b, scale_b)
assert scale_b_int8.numel() == 1
a_int8, scale_a_int8, _ = vllm_scaled_int8_quant(a)
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I know this is a bnechmark script but I think this could still be refactored. Perhaps a few functions/objects and a dictionary?

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#19364

Great idea! I will have another PR optimizing this, because generally I reuse the code from benchmarks/kernels/bench_fp8_gemm.py and we can update them together

Comment on lines +94 to +95
def run_quant():
return vllm_scaled_mm(a_int8, b_int8, scale_a_int8, scale_b_int8, dtype)
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Why doesn't run_quant include scaled_int8_quant here?

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Because this is for the noquant branch, where we don't measure the time for activations quant (for comparison with the other branch)

Comment on lines 254 to 257
struct MinMax {
float min;
float max;
};
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I like this utility but you could put a lot more of the code in here I think:

  • constructor: initialize to numeric_limits
  • operator&=/operator+= (or void reduce): combine MinMax with another MinMax, or add a value (updates both min and max members).

That way the code that uses it will be much cleaner.

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Great idea! Fixed

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I really like the vectorization util! A few more comments

// 2. vectorize the main part
for (int i = tid; i < num_vec; i += stride) {
vout_t tmp;
vec_op(tmp, v_in[i]);
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Could this just do the for loop here and call the vec_op? Or maybe vec_op can have a default parameter value DefaultVec<VEC_SIZE>{sca_op} that loops the sca_op?

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DefaultVec<VEC_SIZE> looks better for me, fixed


// 1. prefill the when it is unsafe to vectorize
for (int i = tid; i < prefix_elems; i += stride) {
sca_op(out[i], in[i]);
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Could you make these return vout_t/OutT instead of passing in a parameter?

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Not sure about this, is this functional kernel preferred (return something) or out as a param kernel preferred in vllm?

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I prefer the return, it's more functional, looks more clear, and I think it's a better general c++/CUDA practice, and the compiler is nominally better at optimizing it (in general - here I think everything will be inlined anyway). So I always default to returning.

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#19430

I agree with you, and raise another issue for community discussion for a clearer code standard. If the return format is preferred, we can adjust all of the out-pram code in a new pr.

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Great work!

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Are the changes to remove the int64 index calculation and replacing static_cast<float>() with float() intentional? I think we should keep these otherwise

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LGTM, great work iterating on this!

@mgoin mgoin added performance Performance-related issues quantization ready ONLY add when PR is ready to merge/full CI is needed labels Jun 10, 2025
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mgoin commented Jun 10, 2025

@yewentao256 can you please merge with latest main and push to fix some of the failing tests?

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Can we keep performance gains off the title of the PR?

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Nice work

@yewentao256 yewentao256 changed the title [Perf] Vectorize static / dynamic INT8 quant kernels (VEC_SIZE = 16) & zero-point refactor — +10 % e2e throughput on NVIDIA H100 [Perf] Vectorize static / dynamic INT8 quant kernels (VEC_SIZE = 16) & zero-point refactor Jun 12, 2025
@yewentao256 yewentao256 changed the title [Perf] Vectorize static / dynamic INT8 quant kernels (VEC_SIZE = 16) & zero-point refactor [Perf] Vectorize static / dynamic INT8 quant kernels Jun 12, 2025
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Can we keep performance gains off the title of the PR?

Sure, updated, thanks!

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Could you force merge into the main? @houseroad
I think this CI fail comes from this issue #18954 and can be reproduced in main branch

@vllm-bot vllm-bot merged commit b6efafd into vllm-project:main Jun 12, 2025
95 of 97 checks passed
amogkam added a commit to character-tech/vllm that referenced this pull request Jun 16, 2025
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* [v1] Re-init input batch for multiple kv cache groups (vllm-project#18654)

Signed-off-by: Chen Zhang <zhangch99@outlook.com>

* [V1][Spec Decode][Ngram] 1.35x gain -> 1.95x gain on InstructCoder with prompt fix (vllm-project#18971)

* [Bugfix] get_num_blocks_to_allocate with null_block (vllm-project#19031)

Signed-off-by: Chen Zhang <zhangch99@outlook.com>

* [Bugfix]: Fix the incompatibility issue with tool_choice 'required' when Thinking is enabled (vllm-project#19075)

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

* [Bugfix][P/D] Fix Prefix Cache Bug (vllm-project#18411)

Signed-off-by: nicklucche <nlucches@redhat.com>
Co-authored-by: Robert Shaw <114415538+robertgshaw2-redhat@users.noreply.github.com>

* [Bugfix] Max concurrency estimation and check_enough_kv_cache_memory for models with sliding window layers (vllm-project#19029)

Signed-off-by: Chen Zhang <zhangch99@outlook.com>

* feat: add data parallel rank to KVEventBatch (vllm-project#18925)

* [Misc] Fix path and python alias errors in disagg_prefill exmaples (vllm-project#18919)

* [Docs] Add developer doc about CI failures (vllm-project#18782)

Signed-off-by: Russell Bryant <rbryant@redhat.com>
Co-authored-by: Mark McLoughlin <markmc@redhat.com>
Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>

* [CPU] V1 support for the CPU backend (vllm-project#16441)

* [Core] Cast multimodal input in hf processor (vllm-project#18862)

Signed-off-by: Lukas Geiger <lukas.geiger94@gmail.com>

* [KERNEL] Sampler. CUDA kernel for applying repetition penalty (vllm-project#18437)

* [Cleanup][v1]:remote guided-decoding-backend for example (vllm-project#19059)

Signed-off-by: calvin chen <120380290@qq.com>

* [NVIDIA] Add Cutlass MLA backend (vllm-project#17625)

* [Bugfix] Fix FA3 full cuda graph correctness (vllm-project#19106)

Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>

* Fix vllm-project#19130 (vllm-project#19132)

Signed-off-by: 汪志鹏 <wangzhipeng628@gmail.com>

* [TPU] Skip hanging tests (vllm-project#19115)

Signed-off-by: Siyuan Liu <lsiyuan@google.com>

* Fix ValueError: Missing value for tag key(s): model_name,engine. (vllm-project#19113)

Signed-off-by: Seiji Eicher <seiji@anyscale.com>

* [Misc] Add packages for benchmark as extra dependency (vllm-project#19089)

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

* Improve the output precision of embedding models (vllm-project#19092)

* [CI/Build][Bugfix] Ensure compatibility with transformers 4.52 (vllm-project#18678)

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

* Add DeepSeek-R1-0528 function call chat template (vllm-project#18874)

Signed-off-by: 许文卿 <xwq391974@alibaba-inc.com>

* Sm100 blockwise fp8 swap ab (vllm-project#18564)

* [Doc] Update V1 Guide for embedding models (vllm-project#19141)

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

* Allow AsyncLLMEngine.generate to target a specific DP rank (vllm-project#19102)

Signed-off-by: Jon Swenson <jmswen@gmail.com>

* [Bugfix][EP+DP] Fix internode check (vllm-project#19112)

Signed-off-by: Tyler Michael Smith <tysmith@redhat.com>

* [Perf] Tunings for SM100 FP8 CUTLASS kernel (vllm-project#18778)

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

* [TPU] Update dynamo dump file name in compilation test (vllm-project#19108)

Signed-off-by: Siyuan Liu <lsiyuan@google.com>

* [Bugfix] fix v1 cpu worker fails on macOS (vllm-project#19121)

* [Kernel] Integrate batched/masked deepgemm kernel (vllm-project#19111)

Signed-off-by: Varun <vsundarr@redhat.com>
Co-authored-by: Varun <vsundarr@redhat.com>

* [Misc] refactor: simplify EngineCoreClient.make_async_mp_client in AsyncLLM (vllm-project#18817)

Signed-off-by: googs1025 <googs1025@gmail.com>

* [P/D] Heterogeneous TP (vllm-project#18833)

Signed-off-by: nicklucche <nlucches@redhat.com>

* [doc] small fix (vllm-project#19167)

Signed-off-by: reidliu41 <reid201711@gmail.com>
Co-authored-by: reidliu41 <reid201711@gmail.com>

* [Bugfix][Nixl] Fix full prefix cache hit bug (vllm-project#18632)

Signed-off-by: rshaw@neuralmagic.com <robertgshaw2@gmail.com>
Signed-off-by: Nick Hill <nhill@redhat.com>
Co-authored-by: Nick Hill <nhill@redhat.com>

* [Bugfix] Fix port handling in make_zmq_path (vllm-project#19117)

* [Torch Nightly]add missing dependency (vllm-project#18770)

Signed-off-by: Yang Wang <elainewy@meta.com>

* Handle non-serializable objects when dumping benchmark results (vllm-project#19114)

* [BugFix][Minor] Fix full cuda graph bug when max_num_seqs < 512 (vllm-project#19171)

Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>

* [Bugfix]: Fix the incompatibility issue with stream when Thinking is disabled (vllm-project#19135)

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

* [Build] Annotate wheel and container path for release workflow (vllm-project#19162)

Signed-off-by: simon-mo <simon.mo@hey.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

* [Misc] Remove unnecessary fallback to prefill-decode attention (vllm-project#19138)

Signed-off-by: vllmellm <vllm.ellm@embeddedllm.com>

* [Misc] Do not override NCCL_CUMEM_ENABLE if set explicitly (vllm-project#19105)

Signed-off-by: 22quinn <33176974+22quinn@users.noreply.github.com>

* [Frontend] improve vllm run-batch --help display (vllm-project#19187)

Signed-off-by: reidliu41 <reid201711@gmail.com>
Co-authored-by: reidliu41 <reid201711@gmail.com>

* [Bugfix] properly catch PIL-related errors for vision models when incorrect data urls are provided (vllm-project#19202)

Signed-off-by: Guillaume Calmettes <gcalmettes@scaleway.com>

* [mistral_common] Add v11 tokenizer (vllm-project#19193)

Signed-off-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add H20-3e fused MoE kernel tuning configs for DeepSeek-R1/V3 (vllm-project#19205)

* [Hardware][NVIDIA] FP4 MoE kernel optimization (vllm-project#19110)

Signed-off-by: Chiyue Wei <chiyuew@nvidia.com>
Co-authored-by: Chiyue Wei <chiyuew@nvidia.com>

* [MISC][Bugfix] Use less CPU when message queue has been empty for some time (vllm-project#16226)

Signed-off-by: Povilas Kanapickas <povilas@radix.lt>

* [P/D][NixlConnector] Enable FlashInfer backend (vllm-project#19090)

* [Quantization] Skip Fp4 Test for `compressed-tensors` (vllm-project#19217)

* [V1] Use FlashInfer by default on Blackwell GPUs (vllm-project#19118)

* [Model] NemotronH support (vllm-project#18863)

Signed-off-by: Luis Vega <2478335+vegaluisjose@users.noreply.github.com>
Co-authored-by: Luis Vega <2478335+vegaluisjose@users.noreply.github.com>

* Fix AOPerModuleConfig name changes (vllm-project#18869)

Signed-off-by: Jerry Zhang <jerryzh168@gmail.com>

* [Bugfix] Fix EAGLE vocab embedding construction for Llama 70B (vllm-project#19033)

Signed-off-by: Benjamin Chislett <benjamin.chislett@centml.ai>

* [v1] Hybrid Memory Allocator (vllm-project#17996)

Signed-off-by: Chen Zhang <zhangch99@outlook.com>

* [TPU] update torch_xla pin (vllm-project#19231)

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

* Support allowed_token_ids in ChatCompletionRequest (vllm-project#19143)

Signed-off-by: Xu Song <xusong.vip@gmail.com>

* [Chore] update CODEOWNERS (vllm-project#19247)

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

* [v1][P/D] Fix a edge case in kv cache schedule (vllm-project#19182)

Co-authored-by: jinghui <jinghui@fb.com>

* [TPU] fix kv cache dtype in model runner (vllm-project#19244)

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

* [Quantization] Bump compressed-tensors version; update NVFP4A16 test model (vllm-project#19224)

Signed-off-by: Dipika Sikka <dipikasikka1@gmail.com>

* [Docs] Improve V1 KVConnector interface documentation (vllm-project#19172)

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

* Fix CompilationConfig repr (vllm-project#19091)

Signed-off-by: rzou <zou3519@gmail.com>

* Unit Test for run_dp_sharded_vision_model (vllm-project#19103)

Signed-off-by: Siqi Yan <siqi@meta.com>
Co-authored-by: Siqi Yan <siqi@meta.com>

* [Model] Optimize nemotron_h implementation (vllm-project#19249)

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

* [Core] Raise when non-multi-instance DP clients target a DP rank (vllm-project#19227)

Signed-off-by: Jon Swenson <jmswen@gmail.com>

* improve logits bias (vllm-project#19041)

* Fixed ppc build when it runs on non-RHEL based linux distros (vllm-project#18422)

Signed-off-by: Nishidha Panpaliya <nishidha.panpaliya@partner.ibm.com>
Signed-off-by: Md. Shafi Hussain <Md.Shafi.Hussain@ibm.com>
Signed-off-by: npanpaliya <nishidha.panpaliya@partner.ibm.com>
Co-authored-by: Md. Shafi Hussain <Md.Shafi.Hussain@ibm.com>

* [BugFix] Fix MultiConnector test after HMA changes (vllm-project#19291)

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

* [Bugfix][Core] Update cancellation logic in `generate()` to handle Generator exits (vllm-project#19225)

Co-authored-by: Adolfo Victoria <adovi@meta.com>

* [Core] Fix abrupt request abort (vllm-project#18485)

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

Co-authored-by: Nick Hill <nhill@redhat.com>

* [BugFix] Fix tpu_model_runner block_id concatenation (vllm-project#19228)

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

* [Misc][Tools][Benchmark] Fix and improve auto tune script (vllm-project#19163)

Signed-off-by: Chenyaaang <chenyangli@google.com>

* [Build][ROCm] Update Dockerfile.rocm (vllm-project#19296)

Signed-off-by: Alexei V. Ivanov <alexei.ivanov@amd.com>

* [Easy][Test] Simplify test_function_tool_use with multiple parametrizes (vllm-project#19269)

Signed-off-by: Lu Fang <lufang@fb.com>

* [Kernel] Integrate CUTLASS MoE kernel with PPLX (vllm-project#18762)

Signed-off-by: ElizaWszola <ewszola@redhat.com>
Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>
Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com>

* [TPU][Test] Add script to run benchmark on TPU for buildkite (vllm-project#19039)

Signed-off-by: Qiliang Cui <derrhein@gmail.com>

* [CI][PowerPC] Use a more appropriate way to select testcase in tests/models/language/pooling/test_embedding.py (vllm-project#19253)

Signed-off-by: Aaruni Aggarwal <aaruniagg@gmail.com>

* Add FlexAttention to V1 (vllm-project#16078)

Signed-off-by: drisspg <drisspguessous@gmail.com>

* [Misc] refactor context extension (vllm-project#19246)

Signed-off-by: reidliu41 <reid201711@gmail.com>
Co-authored-by: reidliu41 <reid201711@gmail.com>

* [CI/Build] Improve Llama GGUF test robustness (vllm-project#19287)

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

* [Nit][Benchmark]Fix example in benchmark_serving_structured_output.py (vllm-project#19311)

Signed-off-by: Lifan Shen <lifans@meta.com>

* [AMD] Update compatible packaging version (vllm-project#19309)

Signed-off-by: pramkuma <Pramendra.Kumar@amd.com>

* [BugFix][V1] Fix memory profiling bug (vllm-project#18974)

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

* [Bugfix]: Fix TypeError: 'float' object cannot be interpreted as an integer (vllm-project#19283)

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

* [Bugfix] Re-enable use_cudagraph in vLLM v1 (vllm-project#19299)

Signed-off-by: Richard Zou <zou3519@gmail.com>

* [Misc] Change tests/compile to use VLLM_V1 by default (vllm-project#19302)

Signed-off-by: rzou <zou3519@gmail.com>

* Add H20-3e fused MoE kernel tuning configs for Qwen3-235B-A22B (vllm-project#19315)

Signed-off-by: Xu Wenqing <xuwq1993@qq.com>

* [Hardware][POWER] Add IBM POWER11 Support to CPU Extension Detection (vllm-project#19082)

Signed-off-by: Akash Kaothalkar <akash.kaothalkar@ibm.com>
Co-authored-by: Akash Kaothalkar <akash.kaothalkar@ibm.com>

* [Quantization] Add compressed-tensors NVFP4 support (vllm-project#18312)

* [Multi Modal] Add an env var for message queue max chunk bytes  (vllm-project#19242)

Signed-off-by: yZhen <yZhen@fb.com>
Co-authored-by: yZhen <yZhen@fb.com>

* [Bugfix] model_max_length should consider max_model_len in tokenizer_config (vllm-project#19201)

* [Deprecation] Remove `inputs` arg fallback in Engine classes (vllm-project#18799)

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

* [Misc] Add documentation update reminder to PR template (vllm-project#19289)

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

* [Frontend] Remove unreachable code from llm.py (vllm-project#19288)

Signed-off-by: KsuParkhamchuk <k.parkhamchuk@gmail.com>

* [Misc] Cleanup compilation tests (vllm-project#19343)

Signed-off-by: rzou <zou3519@gmail.com>

* [doc] improve ci doc (vllm-project#19307)

Signed-off-by: reidliu41 <reid201711@gmail.com>
Co-authored-by: reidliu41 <reid201711@gmail.com>

* [Doc] Fix description in the Automatic Prefix Caching design doc (vllm-project#19333)

Signed-off-by: cr7258 <chengzw258@163.com>

* [CI/Build] Fix LoRA test (vllm-project#19350)

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

* [Fix] Allow kernel compilation for CUDA capability 8.7 (vllm-project#19328)

Signed-off-by: Conroy Cheers <conroy@corncheese.org>

* [CI] Introduce rules for llama auto-label (vllm-project#19323)

Signed-off-by: Lu Fang <lufang@fb.com>

* [Docs] Fix a bullet list in usage/security.md (vllm-project#19358)

Signed-off-by: windsonsea <haifeng.yao@daocloud.io>

* [full_graph] Fix query_start_loc padding (vllm-project#19321)

Signed-off-by: Yinghai Lu <yinghai@thinkingmachines.ai>

* [v1] Add fp32 support to v1 engine through flex attn (vllm-project#19319)

Signed-off-by: Isotr0py <2037008807@qq.com>
Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>

* [Misc] Fixes and Optimizations for DeepEP + DeepGEMM combination. (vllm-project#19298)

Signed-off-by: Varun <vsundarr@redhat.com>
Co-authored-by: Varun <vsundarr@redhat.com>

* [Bugfix][Core] Prevent token lengths exceeding `max_model_len` in V0 (vllm-project#19348)

Signed-off-by: 22quinn <33176974+22quinn@users.noreply.github.com>

* [Quantization] Bump compressed-tensors version (vllm-project#19295)

Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>

* [Frontend] Make TIMEOUT_KEEP_ALIVE configurable through env var (vllm-project#18472)

Signed-off-by: liusiqian <liusiqian@tal.com>

* [TPU]Fix KV cache sharing tests (vllm-project#19371)

* [HOT-FIX] Add `kv_sharing_target_layer_name` argument to cutlass_mla backend (vllm-project#19374)

Signed-off-by: Pavani Majety <pmajety@nvidia.com>

* [Misc] Fix a config typo in disable_hybrid_kv_cache_manager configuration (vllm-project#19383)

Signed-off-by: Siyuan Liu <lsiyuan@google.com>

* [V1] Reuse V0's memory_profiling util for gpu worker memory profiling (vllm-project#19312)

Signed-off-by: Ye (Charlotte) Qi <yeq@meta.com>

* [Bugfix] Fix benchmark_moe.py (vllm-project#19016)

Signed-off-by: Tianyu Guo <guoty9@mail2.sysu.edu.cn>

* Use xla flag to improve the quantized model performance (vllm-project#19303)

Signed-off-by: Xiongfei Wei <isaacwxf23@gmail.com>

* Fix docs/mkdocs/hooks/remove_announcement.py (vllm-project#19382)

* [Frontend] Add tqdm_leave_pbar to control progress bar visibility (vllm-project#19357)

Signed-off-by: reidliu41 <reid201711@gmail.com>
Co-authored-by: reidliu41 <reid201711@gmail.com>

* [Core] Use tuple for kv cache group block ids (vllm-project#19175)

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

* [Bugfix] Fix modelscope token passed in (vllm-project#19389)

Signed-off-by: wangli <wangli858794774@gmail.com>
Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
Co-authored-by: Jee Jee Li <pandaleefree@gmail.com>

* [Core] Batch multi modal input using pinned memory (vllm-project#19169)

Signed-off-by: Lukas Geiger <lukas.geiger94@gmail.com>

* Add security warning to bug report template (vllm-project#19365)

Signed-off-by: Russell Bryant <rbryant@redhat.com>
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* [Misc] refactor neuron_multimodal and profiling (vllm-project#19397)

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* Add clear documentation around the impact of debugging flag (vllm-project#19369)

Signed-off-by: Anna Pendleton <pendleton@google.com>

* Automatically bind CPU OMP Threads of a rank to CPU ids of a NUMA node. (vllm-project#17930)

Signed-off-by: Tsai, Louie <louie.tsai@intel.com>
Co-authored-by: Li, Jiang <bigpyj64@gmail.com>

* Revert "[v1] Add fp32 support to v1 engine through flex attn" (vllm-project#19404)

* [BugFix][FlashInfer] Fix attention backend interface mismatch with unexpected keyword `use_irope` (vllm-project#19134)

Signed-off-by: Yunqiu Guo <guorachel@meta.com>

* [BugFix][CPU] Fix CPU CI by ignore collecting test_pixtral (vllm-project#19411)

Signed-off-by: jiang.li <jiang1.li@intel.com>

* Simplify ep kernels installation (vllm-project#19412)

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

* [Misc] Slight improvement of the BNB  (vllm-project#19418)

Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
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* [Docs] Note that alternative structured output backends are supported (vllm-project#19426)

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

* [ROCm][V1] Adding ROCm to the list of plaforms using V1 by default (vllm-project#19440)

Signed-off-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com>

* [Model] use AutoWeightsLoader for commandr (vllm-project#19399)

Signed-off-by: py-andy-c <pychen1017@gmail.com>

* Add H20-3e fused MoE kernel tuning configs for Qwen3-235B-A22B-FP8 (vllm-project#19401)

Signed-off-by: 许文卿 <xwq391974@alibaba-inc.com>

* [BugFix] Allow use_cudagraph to work with dynamic VLLM_USE_V1 (vllm-project#19390)

Signed-off-by: rzou <zou3519@gmail.com>

* [New Model]: Support Qwen3 Embedding & Reranker  (vllm-project#19260)

* [BugFix] Fix docker build cpu-dev image error (vllm-project#19394)

Signed-off-by: niu_he <carlton2tang@gmail.com>

* Fix test_max_model_len in tests/entrypoints/llm/test_generate.py (vllm-project#19451)

Signed-off-by: Lu Fang <lufang@fb.com>

* [CI] Disable failing GGUF model test (vllm-project#19454)

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

* [Misc] Remove unused `MultiModalHasher.hash_prompt_mm_data` (vllm-project#19422)

Signed-off-by: Lukas Geiger <lukas.geiger94@gmail.com>

* Add fused MOE config for Qwen3 30B A3B on B200 (vllm-project#19455)

Signed-off-by: Junhao Li <junhao@ubicloud.com>

* Fix Typo in Documentation and Function Name (vllm-project#19442)

* [ROCm] Add rules to automatically label ROCm related PRs (vllm-project#19405)

Signed-off-by: Lu Fang <lufang@fb.com>

* [Kernel] Support deep_gemm for linear methods (vllm-project#19085)

Signed-off-by: artetaout <lulala341@gmail.com>

* [Doc] Update V1 User Guide for Hardware and Models (vllm-project#19474)

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

* [Doc] Fix quantization link titles (vllm-project#19478)

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

* [Doc] Support "important" and "announcement" admonitions (vllm-project#19479)

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

* [Misc] Reduce warning message introduced in env_override (vllm-project#19476)

Signed-off-by: Lu Fang <lufang@fb.com>

* Support non-string values in JSON keys from CLI (vllm-project#19471)

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

* Add cache to cuda get_device_capability (vllm-project#19436)

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

* Fix some typo (vllm-project#19475)

Signed-off-by: ximing.wxm <ximing.wxm@antgroup.com>
Co-authored-by: ximing.wxm <ximing.wxm@antgroup.com>

* Support no privileged mode on CPU for docker and kubernetes deployments (vllm-project#19241)

Signed-off-by: Tsai, Louie <louie.tsai@intel.com>

* [Bugfix] Update the example code, make it work with the latest lmcache (vllm-project#19453)

Signed-off-by: Runzhen Wang <wangrunzhen@gmail.com>

* [CI] Update FlashInfer to 0.2.6.post1 (vllm-project#19297)

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

* [doc] fix "Other AI accelerators" getting started page (vllm-project#19457)

Signed-off-by: David Xia <david@davidxia.com>

* [Misc] Fix  misleading ROCm warning (vllm-project#19486)

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

* [Docs] Remove WIP features in V1 guide (vllm-project#19498)

Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>

* [Kernels] Add activation chunking logic to FusedMoEModularKernel (vllm-project#19168)

Signed-off-by: Bill Nell <bnell@redhat.com>

* [AMD] [Quantization] Add override flag for attention dtype instead of using kv_cache_dtype trigger (vllm-project#17331)

Signed-off-by: Randall Smith <Randall.Smith@amd.com>

* [UX] Add Feedback During CUDAGraph Capture (vllm-project#19501)

Signed-off-by: rshaw@neuralmagic.com <robertgshaw2@gmail.com>

* [CI/Build] Fix torch nightly CI dependencies (vllm-project#19505)

Signed-off-by: Richard Zou <zou3519@gmail.com>

* [CI] change spell checker from codespell to typos (vllm-project#18711)

Signed-off-by: Andy Xie <andy.xning@gmail.com>

* [BugFix] Force registration of w8a8_block_fp8_matmul_deepgemm via lazy import (vllm-project#19514)

Signed-off-by: Varun Sundar Rabindranath <vsundarr@redhat.com>
Co-authored-by: Varun Sundar Rabindranath <vsundarr@redhat.com>

* Add Triton Fused MoE kernel config for E=16 on B200 (vllm-project#19518)

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

* [Frontend] Improve error message in tool_choice validation (vllm-project#19239)

Signed-off-by: 22quinn <33176974+22quinn@users.noreply.github.com>

* [BugFix] Work-around incremental detokenization edge case error (vllm-project#19449)

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

* [BugFix] Handle missing sep_token for Qwen3-Reranker in Score API (vllm-project#19522)

Signed-off-by: strutive07 <strutive07@gmail.com>

* [AMD][Kernel][BugFix] fix test_rocm_compressed_tensors_w8a8 for rocm (vllm-project#19509)

Signed-off-by: Randall Smith <Randall.Smith@amd.com>

* Fix typo (vllm-project#19525)

Signed-off-by: 2niuhe <carlton2tang@gmail.com>

* [Security] Prevent new imports of (cloud)pickle (vllm-project#18018)

Signed-off-by: Russell Bryant <rbryant@redhat.com>
Co-authored-by: Aaron Pham <Aaronpham0103@gmail.com>

* [Bugfix][V1] Allow manual FlashAttention for Blackwell (vllm-project#19492)

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

* [Bugfix] Respect num-gpu-blocks-override in v1 (vllm-project#19503)

Signed-off-by: Jon Swenson <jmswen@gmail.com>

* [Quantization] Improve AWQ logic (vllm-project#19431)

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

* [Doc] Add V1 column to supported models list (vllm-project#19523)

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

* [V1][NixlConnector] Drop `num_blocks` check  (vllm-project#19532)

Signed-off-by: NickLucche <nlucches@redhat.com>

* [Perf] Vectorize static / dynamic INT8 quant kernels (vllm-project#19233)

Signed-off-by: yewentao256 <zhyanwentao@126.com>

* Fix TorchAOConfig skip layers (vllm-project#19265)

Signed-off-by: mobicham <hicham@mobiuslabs.com>

* [torch.compile][ROCm] Fuse quantization onto attention using a torch.compile pass (vllm-project#16756)

Signed-off-by: Luka Govedič <lgovedic@redhat.com>
Co-authored-by: Sage Moore <sage@neuralmagic.com>

* [doc] Make top navigation sticky (vllm-project#19540)

Signed-off-by: reidliu41 <reid201711@gmail.com>
Co-authored-by: reidliu41 <reid201711@gmail.com>

* [Spec Decode][Benchmark] Generalize spec decode offline benchmark to more methods and datasets (vllm-project#18847)

* [Misc] Turn MOE_DP_CHUNK_SIZE into an env var (vllm-project#19506)

* [Bugfix] Enforce contiguous input for dynamic_per_token FP8/INT8 quant (vllm-project#19452)

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

* [Doc] Unify structured outputs examples (vllm-project#18196)

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

* [V1] Resolve failed concurrent structured output requests (vllm-project#19565)

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

* Revert "[Build/CI] Add tracing deps to vllm container image (vllm-project#15224)" (vllm-project#19378)

* [BugFix] : Fix Batched DeepGemm Experts (vllm-project#19515)

Signed-off-by: Varun Sundar Rabindranath <vsundarr@redhat.com>
Co-authored-by: Varun Sundar Rabindranath <vsundarr@redhat.com>

* [Bugfix] Fix EAGLE vocab embedding for multimodal target model (vllm-project#19570)

Signed-off-by: qizixi <qizixi@meta.com>

* [Doc] uses absolute links for structured outputs (vllm-project#19582)

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

* [doc] fix incorrect link (vllm-project#19586)

Signed-off-by: reidliu41 <reid201711@gmail.com>
Co-authored-by: reidliu41 <reid201711@gmail.com>

* [Misc] Correct broken docs link (vllm-project#19553)

Signed-off-by: Zerohertz <ohg3417@gmail.com>

* [CPU] Refine default config for the CPU backend (vllm-project#19539)

Signed-off-by: jiang1.li <jiang1.li@intel.com>

* [Fix] bump mistral common to support magistral (vllm-project#19533)

Signed-off-by: 汪志鹏 <wangzhipeng628@gmail.com>

* [Fix] The zip function in Python 3.9 does not have the strict argument (vllm-project#19549)

Signed-off-by: 汪志鹏 <wangzhipeng628@gmail.com>

* use base version for version comparison (vllm-project#19587)

Signed-off-by: Boyuan Feng <boyuan@meta.com>

* [torch.compile] reorganize the cache directory to support compiling multiple models (vllm-project#19064)

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

* [BugFix] Honor `enable_caching` in connector-delayed kvcache load case (vllm-project#19435)

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

* [Model] Fix minimax model cache & lm_head precision (vllm-project#19592)

Signed-off-by: qingjun <qingjun@minimaxi.com>

* [Refactor] Remove unused variables in `moe_permute_unpermute_kernel.inl` (vllm-project#19573)

Signed-off-by: yewentao256 <zhyanwentao@126.com>

* [doc][mkdocs] fix the  duplicate Supported features sections in GPU docs (vllm-project#19606)

Signed-off-by: reidliu41 <reid201711@gmail.com>
Co-authored-by: reidliu41 <reid201711@gmail.com>

* [CUDA] Enable full cudagraph for FlashMLA (vllm-project#18581)

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

* [Doc] Add troubleshooting section to k8s deployment (vllm-project#19377)

Signed-off-by: Anna Pendleton <pendleton@google.com>

* [torch.compile] Use custom ops when use_inductor=False (vllm-project#19618)

* Adding "AMD: Multi-step Tests" to amdproduction. (vllm-project#19508)

Signed-off-by: Yida Wu <yidawu@alumni.cmu.edu>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
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* [BugFix] Fix DP Coordinator incorrect debug log message (vllm-project#19624)

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

* [V1][Metrics] Deprecate metrics with gpu_ prefix for non GPU specific metrics. (vllm-project#18354)

Signed-off-by: Saheli Bhattacharjee <saheli@krai.ai>

* [Bugfix] Fix the speculative decoding test by setting the target dtype (vllm-project#19633)

* [Misc] Modularize CLI Argument Parsing in Benchmark Scripts (vllm-project#19593)

Signed-off-by: reidliu41 <reid201711@gmail.com>
Co-authored-by: reidliu41 <reid201711@gmail.com>

* [Bugfix] Fix auto dtype casting for BatchFeature (vllm-project#19316)

Signed-off-by: Isotr0py <2037008807@qq.com>
Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>

* [Hardware][NVIDIA][kernel] Fp4 MOE quant kernel optimization (vllm-project#19500)

* Only build CUTLASS MoE kernels on Hopper (vllm-project#19648)

* [Bugfix] Don't attempt to use triton if no driver is active (vllm-project#19561)

* [Fix] Convert kv_transfer_config from dict to KVTransferConfig (vllm-project#19262)

* [Perf] Further tunings for SM100 FP8 CUTLASS kernel (vllm-project#19566)

* [Bugfix][2/n] Fix speculative decoding CI - Fix test_ngram_e2e_greedy_correctness (vllm-project#19644)

* [Kernel] Raise verbose error and consolidate `num_heads/num_kv_heads` divisibility check (vllm-project#19339)

Signed-off-by: 22quinn <33176974+22quinn@users.noreply.github.com>

* [Benchmark] Refactor benchmark script for fp8 & int8 (vllm-project#19627)

Signed-off-by: yewentao256 <zhyanwentao@126.com>

* Enable prefix caching with full cuda graphs (vllm-project#19617)

Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>

* [CI/Build] Fix torch nightly CI dependencies part 2 (vllm-project#19589)

* [Misc] Remove duplicate multiproc method setting for CPU platform (vllm-project#19649)

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

* [MISC] Remove unused variableds in C++ (vllm-project#19609)

Signed-off-by: Lu Fang <lufang@fb.com>

* [Bugfix][Core] Prefix caching causes incorrect outputs due to outdated ComputedBlocksTracker (vllm-project#18957)

Signed-off-by: 刘全 <quan.liu2@dbappsecurity.com.cn>
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* [Misc][Frontend] passthrough `bad_words` (vllm-project#19564)

Signed-off-by: Francesco Bertolotti <francesco.bertolotti@igenius.ai>
Co-authored-by: Francesco Bertolotti <francesco.bertolotti@igenius.ai>
Co-authored-by: Aaron Pham <Aaronpham0103@gmail.com>

* [Misc] Fix skipped max-model-len validation when deriving max model length from tokenizer config (vllm-project#19660)

Signed-off-by: Ye (Charlotte) Qi <yeq@meta.com>

* [TPU] support attention head dim smaller than 128 (vllm-project#19620)

Signed-off-by: Chengji Yao <chengjiyao@google.com>
Co-authored-by: mgoin <mgoin64@gmail.com>

* [MISC] typo fix (vllm-project#19672)

Signed-off-by: Andy Xie <andy.xning@gmail.com>

* [CI] Add mteb testing for rerank models (vllm-project#19344)

* [Docs] Move multiproc doc to v1 dir (vllm-project#19651)

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

* [Kernel] GGUF MMVQ kernel for multiple input vectors (vllm-project#18754)

Signed-off-by: SzymonOzog <szymon.ozog@gmail.com>

* [BugFix] Don't catch BaseException when dumping execute_model errors (vllm-project#19626)

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

* [DOC] Add reasoning capability to vLLM streamlit code (vllm-project#19557)

* [Feature]:Allow for Granite MoE Hybrid models with _only_ shared experts. (vllm-project#19652)

Signed-off-by: Shawn Tan <shawntan@ibm.com>

* [Bugfix] Fix TP inference for Flex attention backend (vllm-project#19657)

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

* [MISC] bump huggingface_hub pkg to 0.33.0 (vllm-project#19547)

Signed-off-by: Andy Xie <andy.xning@gmail.com>

* [Bugfix] fix missing 'finish_reason': null in streaming chat (vllm-project#19662)

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

* [Kernels] Use empty for modular MoE workspaces (vllm-project#19667)

Signed-off-by: Bill Nell <bnell@redhat.com>

* [Model] Add support for MiniMaxM1ForCausalLM (shares architecture with MiniMaxText01ForCausalLM) (vllm-project#19677)

Signed-off-by: QscQ <qscqesze@gmail.com>

* [V1] Change return type on get_multimodal_embeddings() (vllm-project#19446)

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

---------

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amogkam added a commit to character-tech/vllm that referenced this pull request Jun 16, 2025
* [Bugfix] disable processor cache  (vllm-project#19068)

Signed-off-by: raushan <raushan@huggingface.co>

* [Doc] Improve the Pull Request template with key components (vllm-project#19086)

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* [Misc] Add missing `_Backend` enums (vllm-project#19081)

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* [Misc] fix: add miss best_of param validation (vllm-project#18555)

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* [Misc] Add SPDX-FileCopyrightText  (vllm-project#19100)

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* [Doc] Readme standardization (vllm-project#18695)

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* [Kernel] DeepEP dispatch-combine kernel integration (vllm-project#18434)

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* [Bugfix][Nixl] Fix full prefix cache hit bug (vllm-project#18632)

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* [Bugfix] properly catch PIL-related errors for vision models when incorrect data urls are provided (vllm-project#19202)

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* [mistral_common] Add v11 tokenizer (vllm-project#19193)

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* [MISC][Bugfix] Use less CPU when message queue has been empty for some time (vllm-project#16226)

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* [P/D][NixlConnector] Enable FlashInfer backend (vllm-project#19090)

* [Quantization] Skip Fp4 Test for `compressed-tensors` (vllm-project#19217)

* [V1] Use FlashInfer by default on Blackwell GPUs (vllm-project#19118)

* [Model] NemotronH support (vllm-project#18863)

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* Fix AOPerModuleConfig name changes (vllm-project#18869)

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* [Bugfix] Fix EAGLE vocab embedding construction for Llama 70B (vllm-project#19033)

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* [v1] Hybrid Memory Allocator (vllm-project#17996)

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* [TPU] update torch_xla pin (vllm-project#19231)

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* Support allowed_token_ids in ChatCompletionRequest (vllm-project#19143)

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* [Chore] update CODEOWNERS (vllm-project#19247)

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* [Quantization] Bump compressed-tensors version; update NVFP4A16 test model (vllm-project#19224)

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* [Docs] Improve V1 KVConnector interface documentation (vllm-project#19172)

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* [Model] Optimize nemotron_h implementation (vllm-project#19249)

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* improve logits bias (vllm-project#19041)

* Fixed ppc build when it runs on non-RHEL based linux distros (vllm-project#18422)

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* [BugFix] Fix MultiConnector test after HMA changes (vllm-project#19291)

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* [BugFix] Fix tpu_model_runner block_id concatenation (vllm-project#19228)

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* [Misc][Tools][Benchmark] Fix and improve auto tune script (vllm-project#19163)

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* [Build][ROCm] Update Dockerfile.rocm (vllm-project#19296)

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

* [Misc] Add documentation update reminder to PR template (vllm-project#19289)

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

* [Frontend] Remove unreachable code from llm.py (vllm-project#19288)

Signed-off-by: KsuParkhamchuk <k.parkhamchuk@gmail.com>

* [Misc] Cleanup compilation tests (vllm-project#19343)

Signed-off-by: rzou <zou3519@gmail.com>

* [doc] improve ci doc (vllm-project#19307)

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* [Doc] Fix description in the Automatic Prefix Caching design doc (vllm-project#19333)

Signed-off-by: cr7258 <chengzw258@163.com>

* [CI/Build] Fix LoRA test (vllm-project#19350)

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

* [Fix] Allow kernel compilation for CUDA capability 8.7 (vllm-project#19328)

Signed-off-by: Conroy Cheers <conroy@corncheese.org>

* [CI] Introduce rules for llama auto-label (vllm-project#19323)

Signed-off-by: Lu Fang <lufang@fb.com>

* [Docs] Fix a bullet list in usage/security.md (vllm-project#19358)

Signed-off-by: windsonsea <haifeng.yao@daocloud.io>

* [full_graph] Fix query_start_loc padding (vllm-project#19321)

Signed-off-by: Yinghai Lu <yinghai@thinkingmachines.ai>

* [v1] Add fp32 support to v1 engine through flex attn (vllm-project#19319)

Signed-off-by: Isotr0py <2037008807@qq.com>
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* [Misc] Fixes and Optimizations for DeepEP + DeepGEMM combination. (vllm-project#19298)

Signed-off-by: Varun <vsundarr@redhat.com>
Co-authored-by: Varun <vsundarr@redhat.com>

* [Bugfix][Core] Prevent token lengths exceeding `max_model_len` in V0 (vllm-project#19348)

Signed-off-by: 22quinn <33176974+22quinn@users.noreply.github.com>

* [Quantization] Bump compressed-tensors version (vllm-project#19295)

Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>

* [Frontend] Make TIMEOUT_KEEP_ALIVE configurable through env var (vllm-project#18472)

Signed-off-by: liusiqian <liusiqian@tal.com>

* [TPU]Fix KV cache sharing tests (vllm-project#19371)

* [HOT-FIX] Add `kv_sharing_target_layer_name` argument to cutlass_mla backend (vllm-project#19374)

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* [Misc] Fix a config typo in disable_hybrid_kv_cache_manager configuration (vllm-project#19383)

Signed-off-by: Siyuan Liu <lsiyuan@google.com>

* [V1] Reuse V0's memory_profiling util for gpu worker memory profiling (vllm-project#19312)

Signed-off-by: Ye (Charlotte) Qi <yeq@meta.com>

* [Bugfix] Fix benchmark_moe.py (vllm-project#19016)

Signed-off-by: Tianyu Guo <guoty9@mail2.sysu.edu.cn>

* Use xla flag to improve the quantized model performance (vllm-project#19303)

Signed-off-by: Xiongfei Wei <isaacwxf23@gmail.com>

* Fix docs/mkdocs/hooks/remove_announcement.py (vllm-project#19382)

* [Frontend] Add tqdm_leave_pbar to control progress bar visibility (vllm-project#19357)

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* [Core] Use tuple for kv cache group block ids (vllm-project#19175)

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

* [Bugfix] Fix modelscope token passed in (vllm-project#19389)

Signed-off-by: wangli <wangli858794774@gmail.com>
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* [Core] Batch multi modal input using pinned memory (vllm-project#19169)

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* Add security warning to bug report template (vllm-project#19365)

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* [Misc] refactor neuron_multimodal and profiling (vllm-project#19397)

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* Add clear documentation around the impact of debugging flag (vllm-project#19369)

Signed-off-by: Anna Pendleton <pendleton@google.com>

* Automatically bind CPU OMP Threads of a rank to CPU ids of a NUMA node. (vllm-project#17930)

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* Revert "[v1] Add fp32 support to v1 engine through flex attn" (vllm-project#19404)

* [BugFix][FlashInfer] Fix attention backend interface mismatch with unexpected keyword `use_irope` (vllm-project#19134)

Signed-off-by: Yunqiu Guo <guorachel@meta.com>

* [BugFix][CPU] Fix CPU CI by ignore collecting test_pixtral (vllm-project#19411)

Signed-off-by: jiang.li <jiang1.li@intel.com>

* Simplify ep kernels installation (vllm-project#19412)

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

* [Misc] Slight improvement of the BNB  (vllm-project#19418)

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* [Docs] Note that alternative structured output backends are supported (vllm-project#19426)

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

* [ROCm][V1] Adding ROCm to the list of plaforms using V1 by default (vllm-project#19440)

Signed-off-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com>

* [Model] use AutoWeightsLoader for commandr (vllm-project#19399)

Signed-off-by: py-andy-c <pychen1017@gmail.com>

* Add H20-3e fused MoE kernel tuning configs for Qwen3-235B-A22B-FP8 (vllm-project#19401)

Signed-off-by: 许文卿 <xwq391974@alibaba-inc.com>

* [BugFix] Allow use_cudagraph to work with dynamic VLLM_USE_V1 (vllm-project#19390)

Signed-off-by: rzou <zou3519@gmail.com>

* [New Model]: Support Qwen3 Embedding & Reranker  (vllm-project#19260)

* [BugFix] Fix docker build cpu-dev image error (vllm-project#19394)

Signed-off-by: niu_he <carlton2tang@gmail.com>

* Fix test_max_model_len in tests/entrypoints/llm/test_generate.py (vllm-project#19451)

Signed-off-by: Lu Fang <lufang@fb.com>

* [CI] Disable failing GGUF model test (vllm-project#19454)

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

* [Misc] Remove unused `MultiModalHasher.hash_prompt_mm_data` (vllm-project#19422)

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* Add fused MOE config for Qwen3 30B A3B on B200 (vllm-project#19455)

Signed-off-by: Junhao Li <junhao@ubicloud.com>

* Fix Typo in Documentation and Function Name (vllm-project#19442)

* [ROCm] Add rules to automatically label ROCm related PRs (vllm-project#19405)

Signed-off-by: Lu Fang <lufang@fb.com>

* [Kernel] Support deep_gemm for linear methods (vllm-project#19085)

Signed-off-by: artetaout <lulala341@gmail.com>

* [Doc] Update V1 User Guide for Hardware and Models (vllm-project#19474)

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

* [Doc] Fix quantization link titles (vllm-project#19478)

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* [Doc] Support "important" and "announcement" admonitions (vllm-project#19479)

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

* [Misc] Reduce warning message introduced in env_override (vllm-project#19476)

Signed-off-by: Lu Fang <lufang@fb.com>

* Support non-string values in JSON keys from CLI (vllm-project#19471)

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

* Add cache to cuda get_device_capability (vllm-project#19436)

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

* Fix some typo (vllm-project#19475)

Signed-off-by: ximing.wxm <ximing.wxm@antgroup.com>
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* Support no privileged mode on CPU for docker and kubernetes deployments (vllm-project#19241)

Signed-off-by: Tsai, Louie <louie.tsai@intel.com>

* [Bugfix] Update the example code, make it work with the latest lmcache (vllm-project#19453)

Signed-off-by: Runzhen Wang <wangrunzhen@gmail.com>

* [CI] Update FlashInfer to 0.2.6.post1 (vllm-project#19297)

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

* [doc] fix "Other AI accelerators" getting started page (vllm-project#19457)

Signed-off-by: David Xia <david@davidxia.com>

* [Misc] Fix  misleading ROCm warning (vllm-project#19486)

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

* [Docs] Remove WIP features in V1 guide (vllm-project#19498)

Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>

* [Kernels] Add activation chunking logic to FusedMoEModularKernel (vllm-project#19168)

Signed-off-by: Bill Nell <bnell@redhat.com>

* [AMD] [Quantization] Add override flag for attention dtype instead of using kv_cache_dtype trigger (vllm-project#17331)

Signed-off-by: Randall Smith <Randall.Smith@amd.com>

* [UX] Add Feedback During CUDAGraph Capture (vllm-project#19501)

Signed-off-by: rshaw@neuralmagic.com <robertgshaw2@gmail.com>

* [CI/Build] Fix torch nightly CI dependencies (vllm-project#19505)

Signed-off-by: Richard Zou <zou3519@gmail.com>

* [CI] change spell checker from codespell to typos (vllm-project#18711)

Signed-off-by: Andy Xie <andy.xning@gmail.com>

* [BugFix] Force registration of w8a8_block_fp8_matmul_deepgemm via lazy import (vllm-project#19514)

Signed-off-by: Varun Sundar Rabindranath <vsundarr@redhat.com>
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* Add Triton Fused MoE kernel config for E=16 on B200 (vllm-project#19518)

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

* [Frontend] Improve error message in tool_choice validation (vllm-project#19239)

Signed-off-by: 22quinn <33176974+22quinn@users.noreply.github.com>

* [BugFix] Work-around incremental detokenization edge case error (vllm-project#19449)

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

* [BugFix] Handle missing sep_token for Qwen3-Reranker in Score API (vllm-project#19522)

Signed-off-by: strutive07 <strutive07@gmail.com>

* [AMD][Kernel][BugFix] fix test_rocm_compressed_tensors_w8a8 for rocm (vllm-project#19509)

Signed-off-by: Randall Smith <Randall.Smith@amd.com>

* Fix typo (vllm-project#19525)

Signed-off-by: 2niuhe <carlton2tang@gmail.com>

* [Security] Prevent new imports of (cloud)pickle (vllm-project#18018)

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* [Bugfix][V1] Allow manual FlashAttention for Blackwell (vllm-project#19492)

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* [Bugfix] Respect num-gpu-blocks-override in v1 (vllm-project#19503)

Signed-off-by: Jon Swenson <jmswen@gmail.com>

* [Quantization] Improve AWQ logic (vllm-project#19431)

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

* [Doc] Add V1 column to supported models list (vllm-project#19523)

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* [V1][NixlConnector] Drop `num_blocks` check  (vllm-project#19532)

Signed-off-by: NickLucche <nlucches@redhat.com>

* [Perf] Vectorize static / dynamic INT8 quant kernels (vllm-project#19233)

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* Fix TorchAOConfig skip layers (vllm-project#19265)

Signed-off-by: mobicham <hicham@mobiuslabs.com>

* [torch.compile][ROCm] Fuse quantization onto attention using a torch.compile pass (vllm-project#16756)

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* [doc] Make top navigation sticky (vllm-project#19540)

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* [Spec Decode][Benchmark] Generalize spec decode offline benchmark to more methods and datasets (vllm-project#18847)

* [Misc] Turn MOE_DP_CHUNK_SIZE into an env var (vllm-project#19506)

* [Bugfix] Enforce contiguous input for dynamic_per_token FP8/INT8 quant (vllm-project#19452)

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* [Doc] Unify structured outputs examples (vllm-project#18196)

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* [V1] Resolve failed concurrent structured output requests (vllm-project#19565)

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* Revert "[Build/CI] Add tracing deps to vllm container image (vllm-project#15224)" (vllm-project#19378)

* [BugFix] : Fix Batched DeepGemm Experts (vllm-project#19515)

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* [Bugfix] Fix EAGLE vocab embedding for multimodal target model (vllm-project#19570)

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* [Doc] uses absolute links for structured outputs (vllm-project#19582)

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* [doc] fix incorrect link (vllm-project#19586)

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* [Misc] Correct broken docs link (vllm-project#19553)

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* [CPU] Refine default config for the CPU backend (vllm-project#19539)

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* [Fix] bump mistral common to support magistral (vllm-project#19533)

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* [Fix] The zip function in Python 3.9 does not have the strict argument (vllm-project#19549)

Signed-off-by: 汪志鹏 <wangzhipeng628@gmail.com>

* use base version for version comparison (vllm-project#19587)

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* [torch.compile] reorganize the cache directory to support compiling multiple models (vllm-project#19064)

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* [BugFix] Honor `enable_caching` in connector-delayed kvcache load case (vllm-project#19435)

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* [Model] Fix minimax model cache & lm_head precision (vllm-project#19592)

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* [Refactor] Remove unused variables in `moe_permute_unpermute_kernel.inl` (vllm-project#19573)

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* [doc][mkdocs] fix the  duplicate Supported features sections in GPU docs (vllm-project#19606)

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* [CUDA] Enable full cudagraph for FlashMLA (vllm-project#18581)

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* [Doc] Add troubleshooting section to k8s deployment (vllm-project#19377)

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* [torch.compile] Use custom ops when use_inductor=False (vllm-project#19618)

* Adding "AMD: Multi-step Tests" to amdproduction. (vllm-project#19508)

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* [BugFix] Fix DP Coordinator incorrect debug log message (vllm-project#19624)

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* [V1][Metrics] Deprecate metrics with gpu_ prefix for non GPU specific metrics. (vllm-project#18354)

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* [Bugfix] Fix the speculative decoding test by setting the target dtype (vllm-project#19633)

* [Misc] Modularize CLI Argument Parsing in Benchmark Scripts (vllm-project#19593)

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* [Bugfix] Fix auto dtype casting for BatchFeature (vllm-project#19316)

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* [Hardware][NVIDIA][kernel] Fp4 MOE quant kernel optimization (vllm-project#19500)

* Only build CUTLASS MoE kernels on Hopper (vllm-project#19648)

* [Bugfix] Don't attempt to use triton if no driver is active (vllm-project#19561)

* [Fix] Convert kv_transfer_config from dict to KVTransferConfig (vllm-project#19262)

* [Perf] Further tunings for SM100 FP8 CUTLASS kernel (vllm-project#19566)

* [Bugfix][2/n] Fix speculative decoding CI - Fix test_ngram_e2e_greedy_correctness (vllm-project#19644)

* [Kernel] Raise verbose error and consolidate `num_heads/num_kv_heads` divisibility check (vllm-project#19339)

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* [Benchmark] Refactor benchmark script for fp8 & int8 (vllm-project#19627)

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* Enable prefix caching with full cuda graphs (vllm-project#19617)

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* [CI/Build] Fix torch nightly CI dependencies part 2 (vllm-project#19589)

* [Misc] Remove duplicate multiproc method setting for CPU platform (vllm-project#19649)

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* [MISC] Remove unused variableds in C++ (vllm-project#19609)

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* [Bugfix][Core] Prefix caching causes incorrect outputs due to outdated ComputedBlocksTracker (vllm-project#18957)

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* [Misc][Frontend] passthrough `bad_words` (vllm-project#19564)

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* [Misc] Fix skipped max-model-len validation when deriving max model length from tokenizer config (vllm-project#19660)

Signed-off-by: Ye (Charlotte) Qi <yeq@meta.com>

* [TPU] support attention head dim smaller than 128 (vllm-project#19620)

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* [MISC] typo fix (vllm-project#19672)

Signed-off-by: Andy Xie <andy.xning@gmail.com>

* [CI] Add mteb testing for rerank models (vllm-project#19344)

* [Docs] Move multiproc doc to v1 dir (vllm-project#19651)

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* [Kernel] GGUF MMVQ kernel for multiple input vectors (vllm-project#18754)

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* [BugFix] Don't catch BaseException when dumping execute_model errors (vllm-project#19626)

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

* [DOC] Add reasoning capability to vLLM streamlit code (vllm-project#19557)

* [Feature]:Allow for Granite MoE Hybrid models with _only_ shared experts. (vllm-project#19652)

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* [Bugfix] Fix TP inference for Flex attention backend (vllm-project#19657)

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* [MISC] bump huggingface_hub pkg to 0.33.0 (vllm-project#19547)

Signed-off-by: Andy Xie <andy.xning@gmail.com>

* [Bugfix] fix missing 'finish_reason': null in streaming chat (vllm-project#19662)

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

* [Kernels] Use empty for modular MoE workspaces (vllm-project#19667)

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* [Model] Add support for MiniMaxM1ForCausalLM (shares architecture with MiniMaxText01ForCausalLM) (vllm-project#19677)

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* [V1] Change return type on get_multimodal_embeddings() (vllm-project#19446)

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* fix

Signed-off-by: Amog Kamsetty <amogkamsetty@gmail.com>

* remove logging

Signed-off-by: Amog Kamsetty <amogkamsetty@gmail.com>

---------

Signed-off-by: raushan <raushan@huggingface.co>
Signed-off-by: Lu Fang <lufang@fb.com>
Signed-off-by: nicklucche <nlucches@redhat.com>
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amogkam added a commit to character-tech/vllm that referenced this pull request Jun 16, 2025
* [Bugfix] disable processor cache  (vllm-project#19068)

Signed-off-by: raushan <raushan@huggingface.co>

* [Doc] Improve the Pull Request template with key components (vllm-project#19086)

Signed-off-by: Lu Fang <lufang@fb.com>

* [Misc] Add missing `_Backend` enums (vllm-project#19081)

Signed-off-by: nicklucche <nlucches@redhat.com>

* [Misc] fix: add miss best_of param validation (vllm-project#18555)

Signed-off-by: googs1025 <googs1025@gmail.com>

* [Misc] Add SPDX-FileCopyrightText  (vllm-project#19100)

Signed-off-by: simon-mo <simon.mo@hey.com>

* [Doc] Readme standardization (vllm-project#18695)

Co-authored-by: Soren Dreano <soren@numind.ai>

* [doc] update docker version (vllm-project#19074)

Signed-off-by: reidliu41 <reid201711@gmail.com>
Co-authored-by: reidliu41 <reid201711@gmail.com>

* [Kernel] DeepEP dispatch-combine kernel integration (vllm-project#18434)

Signed-off-by: Varun <vsundarr@redhat.com>
Co-authored-by: Varun Sundar Rabindranath <vsundarr@redhat.com>

* [V1] Support cross-layer KV sharing (vllm-project#18212)

Signed-off-by: Yong Hoon Shin <yhshin@meta.com>

* [Perf] Tune `scaled_fp8_quant` by increasing vectorization (vllm-project#18844)

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

* Fix interaction between `Optional` and `Annotated` in CLI typing (vllm-project#19093)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Co-authored-by: Yikun Jiang <yikun@apache.org>

* [v1] Re-init input batch for multiple kv cache groups (vllm-project#18654)

Signed-off-by: Chen Zhang <zhangch99@outlook.com>

* [V1][Spec Decode][Ngram] 1.35x gain -> 1.95x gain on InstructCoder with prompt fix (vllm-project#18971)

* [Bugfix] get_num_blocks_to_allocate with null_block (vllm-project#19031)

Signed-off-by: Chen Zhang <zhangch99@outlook.com>

* [Bugfix]: Fix the incompatibility issue with tool_choice 'required' when Thinking is enabled (vllm-project#19075)

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

* [Bugfix][P/D] Fix Prefix Cache Bug (vllm-project#18411)

Signed-off-by: nicklucche <nlucches@redhat.com>
Co-authored-by: Robert Shaw <114415538+robertgshaw2-redhat@users.noreply.github.com>

* [Bugfix] Max concurrency estimation and check_enough_kv_cache_memory for models with sliding window layers (vllm-project#19029)

Signed-off-by: Chen Zhang <zhangch99@outlook.com>

* feat: add data parallel rank to KVEventBatch (vllm-project#18925)

* [Misc] Fix path and python alias errors in disagg_prefill exmaples (vllm-project#18919)

* [Docs] Add developer doc about CI failures (vllm-project#18782)

Signed-off-by: Russell Bryant <rbryant@redhat.com>
Co-authored-by: Mark McLoughlin <markmc@redhat.com>
Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>

* [CPU] V1 support for the CPU backend (vllm-project#16441)

* [Core] Cast multimodal input in hf processor (vllm-project#18862)

Signed-off-by: Lukas Geiger <lukas.geiger94@gmail.com>

* [KERNEL] Sampler. CUDA kernel for applying repetition penalty (vllm-project#18437)

* [Cleanup][v1]:remote guided-decoding-backend for example (vllm-project#19059)

Signed-off-by: calvin chen <120380290@qq.com>

* [NVIDIA] Add Cutlass MLA backend (vllm-project#17625)

* [Bugfix] Fix FA3 full cuda graph correctness (vllm-project#19106)

Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>

* Fix vllm-project#19130 (vllm-project#19132)

Signed-off-by: 汪志鹏 <wangzhipeng628@gmail.com>

* [TPU] Skip hanging tests (vllm-project#19115)

Signed-off-by: Siyuan Liu <lsiyuan@google.com>

* Fix ValueError: Missing value for tag key(s): model_name,engine. (vllm-project#19113)

Signed-off-by: Seiji Eicher <seiji@anyscale.com>

* [Misc] Add packages for benchmark as extra dependency (vllm-project#19089)

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

* Improve the output precision of embedding models (vllm-project#19092)

* [CI/Build][Bugfix] Ensure compatibility with transformers 4.52 (vllm-project#18678)

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

* Add DeepSeek-R1-0528 function call chat template (vllm-project#18874)

Signed-off-by: 许文卿 <xwq391974@alibaba-inc.com>

* Sm100 blockwise fp8 swap ab (vllm-project#18564)

* [Doc] Update V1 Guide for embedding models (vllm-project#19141)

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

* Allow AsyncLLMEngine.generate to target a specific DP rank (vllm-project#19102)

Signed-off-by: Jon Swenson <jmswen@gmail.com>

* [Bugfix][EP+DP] Fix internode check (vllm-project#19112)

Signed-off-by: Tyler Michael Smith <tysmith@redhat.com>

* [Perf] Tunings for SM100 FP8 CUTLASS kernel (vllm-project#18778)

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

* [TPU] Update dynamo dump file name in compilation test (vllm-project#19108)

Signed-off-by: Siyuan Liu <lsiyuan@google.com>

* [Bugfix] fix v1 cpu worker fails on macOS (vllm-project#19121)

* [Kernel] Integrate batched/masked deepgemm kernel (vllm-project#19111)

Signed-off-by: Varun <vsundarr@redhat.com>
Co-authored-by: Varun <vsundarr@redhat.com>

* [Misc] refactor: simplify EngineCoreClient.make_async_mp_client in AsyncLLM (vllm-project#18817)

Signed-off-by: googs1025 <googs1025@gmail.com>

* [P/D] Heterogeneous TP (vllm-project#18833)

Signed-off-by: nicklucche <nlucches@redhat.com>

* [doc] small fix (vllm-project#19167)

Signed-off-by: reidliu41 <reid201711@gmail.com>
Co-authored-by: reidliu41 <reid201711@gmail.com>

* [Bugfix][Nixl] Fix full prefix cache hit bug (vllm-project#18632)

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* [Bugfix] Fix port handling in make_zmq_path (vllm-project#19117)

* [Torch Nightly]add missing dependency (vllm-project#18770)

Signed-off-by: Yang Wang <elainewy@meta.com>

* Handle non-serializable objects when dumping benchmark results (vllm-project#19114)

* [BugFix][Minor] Fix full cuda graph bug when max_num_seqs < 512 (vllm-project#19171)

Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>

* [Bugfix]: Fix the incompatibility issue with stream when Thinking is disabled (vllm-project#19135)

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

* [Build] Annotate wheel and container path for release workflow (vllm-project#19162)

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* [Misc] Remove unnecessary fallback to prefill-decode attention (vllm-project#19138)

Signed-off-by: vllmellm <vllm.ellm@embeddedllm.com>

* [Misc] Do not override NCCL_CUMEM_ENABLE if set explicitly (vllm-project#19105)

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* [Frontend] improve vllm run-batch --help display (vllm-project#19187)

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* [Bugfix] properly catch PIL-related errors for vision models when incorrect data urls are provided (vllm-project#19202)

Signed-off-by: Guillaume Calmettes <gcalmettes@scaleway.com>

* [mistral_common] Add v11 tokenizer (vllm-project#19193)

Signed-off-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add H20-3e fused MoE kernel tuning configs for DeepSeek-R1/V3 (vllm-project#19205)

* [Hardware][NVIDIA] FP4 MoE kernel optimization (vllm-project#19110)

Signed-off-by: Chiyue Wei <chiyuew@nvidia.com>
Co-authored-by: Chiyue Wei <chiyuew@nvidia.com>

* [MISC][Bugfix] Use less CPU when message queue has been empty for some time (vllm-project#16226)

Signed-off-by: Povilas Kanapickas <povilas@radix.lt>

* [P/D][NixlConnector] Enable FlashInfer backend (vllm-project#19090)

* [Quantization] Skip Fp4 Test for `compressed-tensors` (vllm-project#19217)

* [V1] Use FlashInfer by default on Blackwell GPUs (vllm-project#19118)

* [Model] NemotronH support (vllm-project#18863)

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Co-authored-by: Luis Vega <2478335+vegaluisjose@users.noreply.github.com>

* Fix AOPerModuleConfig name changes (vllm-project#18869)

Signed-off-by: Jerry Zhang <jerryzh168@gmail.com>

* [Bugfix] Fix EAGLE vocab embedding construction for Llama 70B (vllm-project#19033)

Signed-off-by: Benjamin Chislett <benjamin.chislett@centml.ai>

* [v1] Hybrid Memory Allocator (vllm-project#17996)

Signed-off-by: Chen Zhang <zhangch99@outlook.com>

* [TPU] update torch_xla pin (vllm-project#19231)

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

* Support allowed_token_ids in ChatCompletionRequest (vllm-project#19143)

Signed-off-by: Xu Song <xusong.vip@gmail.com>

* [Chore] update CODEOWNERS (vllm-project#19247)

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

* [v1][P/D] Fix a edge case in kv cache schedule (vllm-project#19182)

Co-authored-by: jinghui <jinghui@fb.com>

* [TPU] fix kv cache dtype in model runner (vllm-project#19244)

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

* [Quantization] Bump compressed-tensors version; update NVFP4A16 test model (vllm-project#19224)

Signed-off-by: Dipika Sikka <dipikasikka1@gmail.com>

* [Docs] Improve V1 KVConnector interface documentation (vllm-project#19172)

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

* Fix CompilationConfig repr (vllm-project#19091)

Signed-off-by: rzou <zou3519@gmail.com>

* Unit Test for run_dp_sharded_vision_model (vllm-project#19103)

Signed-off-by: Siqi Yan <siqi@meta.com>
Co-authored-by: Siqi Yan <siqi@meta.com>

* [Model] Optimize nemotron_h implementation (vllm-project#19249)

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

* [Core] Raise when non-multi-instance DP clients target a DP rank (vllm-project#19227)

Signed-off-by: Jon Swenson <jmswen@gmail.com>

* improve logits bias (vllm-project#19041)

* Fixed ppc build when it runs on non-RHEL based linux distros (vllm-project#18422)

Signed-off-by: Nishidha Panpaliya <nishidha.panpaliya@partner.ibm.com>
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* [BugFix] Fix MultiConnector test after HMA changes (vllm-project#19291)

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

* [Bugfix][Core] Update cancellation logic in `generate()` to handle Generator exits (vllm-project#19225)

Co-authored-by: Adolfo Victoria <adovi@meta.com>

* [Core] Fix abrupt request abort (vllm-project#18485)

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

Co-authored-by: Nick Hill <nhill@redhat.com>

* [BugFix] Fix tpu_model_runner block_id concatenation (vllm-project#19228)

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

* [Misc][Tools][Benchmark] Fix and improve auto tune script (vllm-project#19163)

Signed-off-by: Chenyaaang <chenyangli@google.com>

* [Build][ROCm] Update Dockerfile.rocm (vllm-project#19296)

Signed-off-by: Alexei V. Ivanov <alexei.ivanov@amd.com>

* [Easy][Test] Simplify test_function_tool_use with multiple parametrizes (vllm-project#19269)

Signed-off-by: Lu Fang <lufang@fb.com>

* [Kernel] Integrate CUTLASS MoE kernel with PPLX (vllm-project#18762)

Signed-off-by: ElizaWszola <ewszola@redhat.com>
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* [TPU][Test] Add script to run benchmark on TPU for buildkite (vllm-project#19039)

Signed-off-by: Qiliang Cui <derrhein@gmail.com>

* [CI][PowerPC] Use a more appropriate way to select testcase in tests/models/language/pooling/test_embedding.py (vllm-project#19253)

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* Add FlexAttention to V1 (vllm-project#16078)

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* [Misc] refactor context extension (vllm-project#19246)

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* [CI/Build] Improve Llama GGUF test robustness (vllm-project#19287)

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

* [Nit][Benchmark]Fix example in benchmark_serving_structured_output.py (vllm-project#19311)

Signed-off-by: Lifan Shen <lifans@meta.com>

* [AMD] Update compatible packaging version (vllm-project#19309)

Signed-off-by: pramkuma <Pramendra.Kumar@amd.com>

* [BugFix][V1] Fix memory profiling bug (vllm-project#18974)

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

* [Bugfix]: Fix TypeError: 'float' object cannot be interpreted as an integer (vllm-project#19283)

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

* [Bugfix] Re-enable use_cudagraph in vLLM v1 (vllm-project#19299)

Signed-off-by: Richard Zou <zou3519@gmail.com>

* [Misc] Change tests/compile to use VLLM_V1 by default (vllm-project#19302)

Signed-off-by: rzou <zou3519@gmail.com>

* Add H20-3e fused MoE kernel tuning configs for Qwen3-235B-A22B (vllm-project#19315)

Signed-off-by: Xu Wenqing <xuwq1993@qq.com>

* [Hardware][POWER] Add IBM POWER11 Support to CPU Extension Detection (vllm-project#19082)

Signed-off-by: Akash Kaothalkar <akash.kaothalkar@ibm.com>
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* [Quantization] Add compressed-tensors NVFP4 support (vllm-project#18312)

* [Multi Modal] Add an env var for message queue max chunk bytes  (vllm-project#19242)

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* [Bugfix] model_max_length should consider max_model_len in tokenizer_config (vllm-project#19201)

* [Deprecation] Remove `inputs` arg fallback in Engine classes (vllm-project#18799)

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

* [Misc] Add documentation update reminder to PR template (vllm-project#19289)

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

* [Frontend] Remove unreachable code from llm.py (vllm-project#19288)

Signed-off-by: KsuParkhamchuk <k.parkhamchuk@gmail.com>

* [Misc] Cleanup compilation tests (vllm-project#19343)

Signed-off-by: rzou <zou3519@gmail.com>

* [doc] improve ci doc (vllm-project#19307)

Signed-off-by: reidliu41 <reid201711@gmail.com>
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* [Doc] Fix description in the Automatic Prefix Caching design doc (vllm-project#19333)

Signed-off-by: cr7258 <chengzw258@163.com>

* [CI/Build] Fix LoRA test (vllm-project#19350)

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

* [Fix] Allow kernel compilation for CUDA capability 8.7 (vllm-project#19328)

Signed-off-by: Conroy Cheers <conroy@corncheese.org>

* [CI] Introduce rules for llama auto-label (vllm-project#19323)

Signed-off-by: Lu Fang <lufang@fb.com>

* [Docs] Fix a bullet list in usage/security.md (vllm-project#19358)

Signed-off-by: windsonsea <haifeng.yao@daocloud.io>

* [full_graph] Fix query_start_loc padding (vllm-project#19321)

Signed-off-by: Yinghai Lu <yinghai@thinkingmachines.ai>

* [v1] Add fp32 support to v1 engine through flex attn (vllm-project#19319)

Signed-off-by: Isotr0py <2037008807@qq.com>
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* [Misc] Fixes and Optimizations for DeepEP + DeepGEMM combination. (vllm-project#19298)

Signed-off-by: Varun <vsundarr@redhat.com>
Co-authored-by: Varun <vsundarr@redhat.com>

* [Bugfix][Core] Prevent token lengths exceeding `max_model_len` in V0 (vllm-project#19348)

Signed-off-by: 22quinn <33176974+22quinn@users.noreply.github.com>

* [Quantization] Bump compressed-tensors version (vllm-project#19295)

Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>

* [Frontend] Make TIMEOUT_KEEP_ALIVE configurable through env var (vllm-project#18472)

Signed-off-by: liusiqian <liusiqian@tal.com>

* [TPU]Fix KV cache sharing tests (vllm-project#19371)

* [HOT-FIX] Add `kv_sharing_target_layer_name` argument to cutlass_mla backend (vllm-project#19374)

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* [Misc] Fix a config typo in disable_hybrid_kv_cache_manager configuration (vllm-project#19383)

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* [V1] Reuse V0's memory_profiling util for gpu worker memory profiling (vllm-project#19312)

Signed-off-by: Ye (Charlotte) Qi <yeq@meta.com>

* [Bugfix] Fix benchmark_moe.py (vllm-project#19016)

Signed-off-by: Tianyu Guo <guoty9@mail2.sysu.edu.cn>

* Use xla flag to improve the quantized model performance (vllm-project#19303)

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* Fix docs/mkdocs/hooks/remove_announcement.py (vllm-project#19382)

* [Frontend] Add tqdm_leave_pbar to control progress bar visibility (vllm-project#19357)

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* [Core] Use tuple for kv cache group block ids (vllm-project#19175)

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

* [Bugfix] Fix modelscope token passed in (vllm-project#19389)

Signed-off-by: wangli <wangli858794774@gmail.com>
Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
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* [Core] Batch multi modal input using pinned memory (vllm-project#19169)

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* Add security warning to bug report template (vllm-project#19365)

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* [Misc] refactor neuron_multimodal and profiling (vllm-project#19397)

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* Add clear documentation around the impact of debugging flag (vllm-project#19369)

Signed-off-by: Anna Pendleton <pendleton@google.com>

* Automatically bind CPU OMP Threads of a rank to CPU ids of a NUMA node. (vllm-project#17930)

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* Revert "[v1] Add fp32 support to v1 engine through flex attn" (vllm-project#19404)

* [BugFix][FlashInfer] Fix attention backend interface mismatch with unexpected keyword `use_irope` (vllm-project#19134)

Signed-off-by: Yunqiu Guo <guorachel@meta.com>

* [BugFix][CPU] Fix CPU CI by ignore collecting test_pixtral (vllm-project#19411)

Signed-off-by: jiang.li <jiang1.li@intel.com>

* Simplify ep kernels installation (vllm-project#19412)

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

* [Misc] Slight improvement of the BNB  (vllm-project#19418)

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* [Docs] Note that alternative structured output backends are supported (vllm-project#19426)

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

* [ROCm][V1] Adding ROCm to the list of plaforms using V1 by default (vllm-project#19440)

Signed-off-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com>

* [Model] use AutoWeightsLoader for commandr (vllm-project#19399)

Signed-off-by: py-andy-c <pychen1017@gmail.com>

* Add H20-3e fused MoE kernel tuning configs for Qwen3-235B-A22B-FP8 (vllm-project#19401)

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* [BugFix] Allow use_cudagraph to work with dynamic VLLM_USE_V1 (vllm-project#19390)

Signed-off-by: rzou <zou3519@gmail.com>

* [New Model]: Support Qwen3 Embedding & Reranker  (vllm-project#19260)

* [BugFix] Fix docker build cpu-dev image error (vllm-project#19394)

Signed-off-by: niu_he <carlton2tang@gmail.com>

* Fix test_max_model_len in tests/entrypoints/llm/test_generate.py (vllm-project#19451)

Signed-off-by: Lu Fang <lufang@fb.com>

* [CI] Disable failing GGUF model test (vllm-project#19454)

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

* [Misc] Remove unused `MultiModalHasher.hash_prompt_mm_data` (vllm-project#19422)

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* Add fused MOE config for Qwen3 30B A3B on B200 (vllm-project#19455)

Signed-off-by: Junhao Li <junhao@ubicloud.com>

* Fix Typo in Documentation and Function Name (vllm-project#19442)

* [ROCm] Add rules to automatically label ROCm related PRs (vllm-project#19405)

Signed-off-by: Lu Fang <lufang@fb.com>

* [Kernel] Support deep_gemm for linear methods (vllm-project#19085)

Signed-off-by: artetaout <lulala341@gmail.com>

* [Doc] Update V1 User Guide for Hardware and Models (vllm-project#19474)

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

* [Doc] Fix quantization link titles (vllm-project#19478)

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* [Doc] Support "important" and "announcement" admonitions (vllm-project#19479)

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

* [Misc] Reduce warning message introduced in env_override (vllm-project#19476)

Signed-off-by: Lu Fang <lufang@fb.com>

* Support non-string values in JSON keys from CLI (vllm-project#19471)

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

* Add cache to cuda get_device_capability (vllm-project#19436)

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

* Fix some typo (vllm-project#19475)

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* Support no privileged mode on CPU for docker and kubernetes deployments (vllm-project#19241)

Signed-off-by: Tsai, Louie <louie.tsai@intel.com>

* [Bugfix] Update the example code, make it work with the latest lmcache (vllm-project#19453)

Signed-off-by: Runzhen Wang <wangrunzhen@gmail.com>

* [CI] Update FlashInfer to 0.2.6.post1 (vllm-project#19297)

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

* [doc] fix "Other AI accelerators" getting started page (vllm-project#19457)

Signed-off-by: David Xia <david@davidxia.com>

* [Misc] Fix  misleading ROCm warning (vllm-project#19486)

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

* [Docs] Remove WIP features in V1 guide (vllm-project#19498)

Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>

* [Kernels] Add activation chunking logic to FusedMoEModularKernel (vllm-project#19168)

Signed-off-by: Bill Nell <bnell@redhat.com>

* [AMD] [Quantization] Add override flag for attention dtype instead of using kv_cache_dtype trigger (vllm-project#17331)

Signed-off-by: Randall Smith <Randall.Smith@amd.com>

* [UX] Add Feedback During CUDAGraph Capture (vllm-project#19501)

Signed-off-by: rshaw@neuralmagic.com <robertgshaw2@gmail.com>

* [CI/Build] Fix torch nightly CI dependencies (vllm-project#19505)

Signed-off-by: Richard Zou <zou3519@gmail.com>

* [CI] change spell checker from codespell to typos (vllm-project#18711)

Signed-off-by: Andy Xie <andy.xning@gmail.com>

* [BugFix] Force registration of w8a8_block_fp8_matmul_deepgemm via lazy import (vllm-project#19514)

Signed-off-by: Varun Sundar Rabindranath <vsundarr@redhat.com>
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* Add Triton Fused MoE kernel config for E=16 on B200 (vllm-project#19518)

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

* [Frontend] Improve error message in tool_choice validation (vllm-project#19239)

Signed-off-by: 22quinn <33176974+22quinn@users.noreply.github.com>

* [BugFix] Work-around incremental detokenization edge case error (vllm-project#19449)

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

* [BugFix] Handle missing sep_token for Qwen3-Reranker in Score API (vllm-project#19522)

Signed-off-by: strutive07 <strutive07@gmail.com>

* [AMD][Kernel][BugFix] fix test_rocm_compressed_tensors_w8a8 for rocm (vllm-project#19509)

Signed-off-by: Randall Smith <Randall.Smith@amd.com>

* Fix typo (vllm-project#19525)

Signed-off-by: 2niuhe <carlton2tang@gmail.com>

* [Security] Prevent new imports of (cloud)pickle (vllm-project#18018)

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* [Bugfix][V1] Allow manual FlashAttention for Blackwell (vllm-project#19492)

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* [Bugfix] Respect num-gpu-blocks-override in v1 (vllm-project#19503)

Signed-off-by: Jon Swenson <jmswen@gmail.com>

* [Quantization] Improve AWQ logic (vllm-project#19431)

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

* [Doc] Add V1 column to supported models list (vllm-project#19523)

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* [V1][NixlConnector] Drop `num_blocks` check  (vllm-project#19532)

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* [Perf] Vectorize static / dynamic INT8 quant kernels (vllm-project#19233)

Signed-off-by: yewentao256 <zhyanwentao@126.com>

* Fix TorchAOConfig skip layers (vllm-project#19265)

Signed-off-by: mobicham <hicham@mobiuslabs.com>

* [torch.compile][ROCm] Fuse quantization onto attention using a torch.compile pass (vllm-project#16756)

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* [doc] Make top navigation sticky (vllm-project#19540)

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* [Spec Decode][Benchmark] Generalize spec decode offline benchmark to more methods and datasets (vllm-project#18847)

* [Misc] Turn MOE_DP_CHUNK_SIZE into an env var (vllm-project#19506)

* [Bugfix] Enforce contiguous input for dynamic_per_token FP8/INT8 quant (vllm-project#19452)

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

* [Doc] Unify structured outputs examples (vllm-project#18196)

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

* [V1] Resolve failed concurrent structured output requests (vllm-project#19565)

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* Revert "[Build/CI] Add tracing deps to vllm container image (vllm-project#15224)" (vllm-project#19378)

* [BugFix] : Fix Batched DeepGemm Experts (vllm-project#19515)

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* [Doc] uses absolute links for structured outputs (vllm-project#19582)

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* [doc] fix incorrect link (vllm-project#19586)

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* [CPU] Refine default config for the CPU backend (vllm-project#19539)

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* [Fix] The zip function in Python 3.9 does not have the strict argument (vllm-project#19549)

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* [BugFix] Fix DP Coordinator incorrect debug log message (vllm-project#19624)

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* [Bugfix] Fix the speculative decoding test by setting the target dtype (vllm-project#19633)

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* [V1] Change return type on get_multimodal_embeddings() (vllm-project#19446)

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* fix

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minpeter pushed a commit to minpeter/vllm that referenced this pull request Jun 24, 2025
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Signed-off-by: yewentao256 <zhyanwentao@126.com>
Signed-off-by: minpeter <kali2005611@gmail.com>
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