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[ZenCPU] Add zencpu Platform Runtime Logging and Docs#42726

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tlrmchlsmth merged 14 commits into
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amd-lalithnc:zen-runtime-logs
Jun 16, 2026
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[ZenCPU] Add zencpu Platform Runtime Logging and Docs#42726
tlrmchlsmth merged 14 commits into
vllm-project:mainfrom
amd-lalithnc:zen-runtime-logs

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@amd-lalithnc

@amd-lalithnc amd-lalithnc commented May 15, 2026

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Change-Id: I6049a7950a6c312c02892a740576411e886271a7

Purpose

Add AMD Zen CPU runtime visibility to the public fork so it is easy to confirm, from live logs, that:

  • ZenCpuPlatform was activated
  • CPU unquantized GEMM dispatch went through the zentorch path

This PR also updates unit tests - to verify the ZenCPU platform verification logs - and installation/verification docs for the Zen CPU flow.

Test Plan

  1. Run the focused unit tests for the new logging coverage:
    python -m pytest tests/model_executor/test_cpu_unquantized_gemm_dispatch.py -q
  2. Install the public fork in the validation env and run a real CPU throughput benchmark:
    python -m pip install . --no-build-isolation --no-deps --force-reinstall
env -i HOME="$HOME" PATH="$PATH" TERM="${TERM:-xterm}" USER="${USER}" bash --noprofile --norc -lc '
source /proj/zendnn/lalithnc/anaconda3/etc/profile.d/conda.sh &&
conda activate vllm-zentorch-0.20.2 &&
cd /tmp &&
export VLLM_CPU_KVCACHE_SPACE=40 &&
export VLLM_CPU_OMP_THREADS_BIND="0-55" &&
vllm bench throughput \
  --model /proj/ai_models/vllm/hub/models--meta-llama--Llama-3.1-8B-Instruct/snapshots/0e9e39f249a16976918f6564b8830bc894c89659 \
  --random-input-len 128 \
  --random-output-len 128 \
  --num-prompts 8 \
  --max-num-seqs 8

Verify the runtime output contains:

  • ZenCpuPlatform activated
  • CPU unquantized GEMM dispatch: using zentorch_linear_unary

Test Result

  • Focused unit tests passed:
4 passed, 17 warnings in 1.91s
  • Real benchmark on the public fork emitted the expected runtime logs:
ZenCpuPlatform activated | zentorch=5.2.1 | VLLM_ZENTORCH_WEIGHT_PREPACK=1 | AVX-512=True | AVX-512_BF16=True
CPU unquantized GEMM dispatch: using zentorch_linear_unary (prepacked=True)
  • Benchmark completed successfully with:
Throughput: 0.65 requests/s, 167.36 total tokens/s, 83.68 output tokens/s
Total num prompt tokens:  1024
Total num output tokens:  1024
exit_code: 0

Docs were updated to reflect Zen CPU install/verification flow in the public fork.


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
  • (Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.

cc: @tlrmchlsmth @ProExpertProg

Make it easy to confirm platform activation and GEMM dispatch during real runs.

Signed-off-by: Lalithnarayan C <Lalithnarayan.C@amd.com>
Change-Id: I6049a7950a6c312c02892a740576411e886271a7
Make the CPU hardware note explicit that AMD Zen keeps the same vLLM model support.

Signed-off-by: Lalithnarayan C <Lalithnarayan.C@amd.com>
Change-Id: I5b4fcaecc344bab7daf3174d1c90b3d674819fcd
@mergify

mergify Bot commented May 15, 2026

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@mergify mergify Bot added documentation Improvements or additions to documentation cpu Related to CPU backends labels May 15, 2026

@gemini-code-assist gemini-code-assist Bot left a comment

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Code Review

This pull request introduces documentation and logging for AMD Zen CPU optimizations. It adds detailed installation instructions for the zentorch plugin, explains the auto-activation of ZenCpuPlatform on AMD Zen 4/5 hardware, and implements informative logging to identify which GEMM dispatch kernel is being utilized. Unit tests were also included to verify the new logging and activation logic. I have no feedback to provide.

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Hi @amd-lalithnc, the pre-commit checks have failed. Please run:

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Then, commit the changes and push to your branch.

For future commits, pre-commit will run automatically on changed files before each commit.

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Apply the formatter changes and fix the CPU include-file anchor so the branch-local pre-commit checks pass.

Signed-off-by: Lalithnarayan C <Lalithnarayan.C@amd.com>
Change-Id: I877af675bb19cd8e606e227490ffd0600f46e6f5
@amd-lalithnc

amd-lalithnc commented May 27, 2026

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hello @tlrmchlsmth @ProExpertProg - can we enable CI checks on this PR? please do give this a review when you get a chance, these logs help us identify if the relevant platform and kernels are being selected. Thanks!

@amukho

amukho commented May 28, 2026

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hi @AndreasKaratzas can you please review and help merge this PR? This is adding the logging and documentation support for the ZenCPU platform plugin already upstreamed in vLLM

Comment on lines +164 to +189
### How do I enable AMD Zen optimizations?

On an AMD Zen 4 / Zen 5 CPU, install the CPU wheel with the `zen` extra so
vLLM pulls the tested `zentorch` version for that release:

```bash
export VLLM_VERSION=0.20.2
pip install "vllm[zen] @ https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}%2Bcpu-cp38-abi3-manylinux_2_35_x86_64.whl" \
--extra-index-url https://download.pytorch.org/whl/cpu
```

This is safer than installing `zentorch` separately, because the `zen` extra
keeps the vLLM wheel and ZenDNN plugin on the tested version combination.

vLLM auto-detects the platform and routes linear layers through
ZenDNN-optimized kernels - no flag needed. To verify it is engaged, run with
INFO-level logs and look for the activation banner:

```bash
VLLM_LOGGING_LEVEL=INFO vllm serve facebook/opt-125m --dtype bfloat16 \
2>&1 | grep -E "ZenCpuPlatform activated|CPU unquantized GEMM dispatch"
```

See [AMD Zen optimizations](#amd-zen-optimizations) for details on detection
rules, supported dtypes, and the `VLLM_ZENTORCH_WEIGHT_PREPACK` knob.

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I would put this above the "How to decide VLLM_CPU_OMP_THREADS_BIND"

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done

Comment on lines +4 to +5
vLLM supports basic model inferencing and serving on x86 CPU platform, with
data types FP32 and BF16.

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No reason for line diff here.

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done

Comment on lines +7 to +12
On AMD Zen 4 / Zen 5 (Genoa, Bergamo, Turin) CPUs, vLLM auto-activates a
`ZenCpuPlatform` when a compatible
[`zentorch`](https://github.com/amd/ZenDNN-pytorch-plugin) package is
available. For release wheels, install the CPU wheel with the `zen` extra so
vLLM pulls the tested `zentorch` version for that release. See
[AMD Zen optimizations](cpu.md#amd-zen-optimizations) below.

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No reason for new lines here.

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done

--8<-- [end:build-image-from-source]
--8<-- [start:amd-zen-optimizations]

On AMD Zen CPUs, vLLM auto-selects `ZenCpuPlatform` (a subclass of the default

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Again check this file, no need for some of the new lines.

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done

Comment on lines +74 to +75
@pytest.mark.usefixtures("_mock_zentorch_linear_unary")
def test_dispatch_cpu_unquantized_gemm_logs_zentorch_dispatch(monkeypatch):

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Should this be skipped if platform is not zen_cpu?

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No, this is intentional. The test is a unit test for the dispatcher logic.

It uses the _mock_zentorch_linear_unary fixture to register a fake zentorch_linear_unary op via torch.library and monkeypatches current_platform.is_zen_cpu to True. This makes the test hardware-independent by design so the dispatch path is exercised on any CI runner.

Skipping on non-Zen hardware would mean the new logging code is never validated in CI. The pattern matches the two existing tests above it (test_dispatch_cpu_unquantized_gemm_uses_zentorch_on_zen, test_dispatch_cpu_unquantized_gemm_zen_remove_weight) that were accepted in PR #35970, and the four test_zen_cpu_platform_detection.py tests (also from #35970) that mock os.path.exists + open to make /proc/cpuinfo reads hardware-independent. Verified passing locally: 4/4 in this file + 4/4 in test_zen_cpu_platform_detection.py = 8/8 PASSED.

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although, would love to get your thoughts on adding UT for logging

]


def test_zen_cpu_platform_logs_activation(monkeypatch):

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same

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same answer as the previous one

Comment thread vllm/model_executor/layers/utils.py Outdated
Comment on lines +278 to +306
@@ -282,6 +289,7 @@ def dispatch_cpu_unquantized_gemm(
layer.cpu_linear = lambda x, weight, bias: ops.onednn_mm(handler, x, bias)
if remove_weight:
layer.weight = torch.nn.Parameter(torch.empty(0), requires_grad=False)
logger.info_once("CPU unquantized GEMM dispatch: using oneDNN onednn_mm")
return
except RuntimeError as e:
logger.warning_once(
@@ -293,6 +301,9 @@ def dispatch_cpu_unquantized_gemm(
layer.cpu_linear = lambda x, weight, bias: torch.nn.functional.linear(
x, weight, bias
)
logger.info_once(
"CPU unquantized GEMM dispatch: using torch.nn.functional.linear (fallback)"
)

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The first log is borderline OK since it happens on the zentorch path alone, but the rest of them I am not so sure. Can you explore the option of installing logs in your dispatcher? (platforms/zen_cpu.py)

Or these are important logs?

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Dropped the three non-Zen logger.info_once calls in dispatch_cpu_unquantized_gemm (sgl-kernel, oneDNN, fallback)

Signed-off-by: Lalithnarayan C <Lalithnarayan.C@amd.com>
Change-Id: I3b246f6f5ac1d658a8962a686ae569467f803b6a
Comment thread vllm/platforms/zen_cpu.py Outdated
Comment on lines +42 to +64
@classmethod
def check_and_update_config(cls, vllm_config: VllmConfig) -> None:
super().check_and_update_config(vllm_config)

import zentorch

zentorch_version = getattr(zentorch, "__version__", "unknown")
avx512 = torch.cpu._is_avx512_supported()
avx512_bf16 = torch.cpu._is_avx512_bf16_supported()

logger.info_once(
"ZenCpuPlatform activated | zentorch=%s | "
"VLLM_ZENTORCH_WEIGHT_PREPACK=%d | "
"AVX-512=%s | AVX-512_BF16=%s",
zentorch_version,
int(envs.VLLM_ZENTORCH_WEIGHT_PREPACK),
avx512,
avx512_bf16,
)

zentorch_config = getattr(zentorch, "__config__", None)
if zentorch_config:
logger.info_once("zentorch build config: %s", zentorch_config)

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check_and_update_config is not the right place to print info banners. We already have logging that the zen platform is being used here - perhaps upgrade that logging level to info instead?

logger.debug(
"AMD Zen CPU detected with zentorch installed, using ZenCpuPlatform."
)

Comment thread vllm/model_executor/layers/utils.py Outdated
Comment on lines +261 to +264
logger.info_once(
"CPU unquantized GEMM dispatch: using zentorch_linear_unary (prepacked=%s)",
is_prepacked,
)

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Could you change this to debug_once and then add a log for all of the backends, not just zentorch? Thanks

@AndreasKaratzas

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Gonna add the ready label, comments have been addressed
cc @tlrmchlsmth for final stamping

@AndreasKaratzas AndreasKaratzas added the ready ONLY add when PR is ready to merge/full CI is needed label May 29, 2026
Signed-off-by: Lalithnarayan C <Lalithnarayan.C@amd.com>
Change-Id: I7d16e0f80048b0893e157b3c13d27bf2b38cdc78
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Hi @amd-lalithnc, the pre-commit checks have failed. Please run:

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For future commits, pre-commit will run automatically on changed files before each commit.

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Hi @amd-lalithnc, the pre-commit checks have failed. Please run:

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Then, commit the changes and push to your branch.

For future commits, pre-commit will run automatically on changed files before each commit.

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Is mypy failing?
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Signed-off-by: Lalithnarayan C <Lalithnarayan.C@amd.com>
Change-Id: Ie92660278bda66af71e575da506c09c01f40322f
@amd-lalithnc

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hi @tlrmchlsmth @AndreasKaratzas - CI failing due to a 503 error, can we retrigger?

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A couple comments in the readme that I didn't catch before

Comment thread docs/getting_started/installation/cpu.md
Comment on lines +249 to +250
VLLM_LOGGING_LEVEL=INFO vllm serve facebook/opt-125m --dtype bfloat16 \
2>&1 | grep "AMD Zen CPU detected with zentorch installed"

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Let's update the model to something more modern. (Qwen3 0.6b? In that case you won't have to set --dtype bf16) We also shouldn't need to set VLLM_LOGGING_LEVEL=INFO since this is the default

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changed the model

- Pin VLLM_VERSION to the latest release tag via the GitHub API
  instead of hard-coding a stale version.
- Drop the %2B URL-encoding now that the literal '+' works.
- Trim the verification command: vllm serve already logs at INFO and
  picks dtype automatically, and switch the example model to a more
  current one (Qwen/Qwen3-0.6B).

Signed-off-by: Lalithnarayan C <Lalithnarayan.C@amd.com>
Change-Id: I7013670bbe7ef2a02f764a0ef5ede5dfc98b9f1a
@amd-lalithnc

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hi @tlrmchlsmth - can we go ahead and merge this PR - all review comments have been addressed, thanks!

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accident

tlrmchlsmth and others added 2 commits June 12, 2026 11:12
Use `uv pip install "vllm[zen]"` with the wheels.vllm.ai index
instead of constructing a direct wheel URL, consistent with the
nightly/commit install patterns in the x86 docs.

Co-authored-by: Claude <noreply@anthropic.com>
Signed-off-by: Tyler Michael Smith <tyler@tylersmith.us>
Signed-off-by: Tyler Michael Smith <tlrmchlsmth@gmail.com>
@tlrmchlsmth tlrmchlsmth enabled auto-merge (squash) June 12, 2026 15:12
@amd-lalithnc

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hi @tlrmchlsmth - looks like the CI failures are unrelated to our PR - please check and let me know if there are any concerns

@tlrmchlsmth tlrmchlsmth merged commit 405c7cf into vllm-project:main Jun 16, 2026
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* [Kernel][Helion][1/N] Add Helion kernel for per_token_group_fp8_quant (#36902)

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* [Bugfix] Restrict FlashInfer cuDNN FP8 ViT attention gate to Blackwell (SM 100) (#45251)

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* [Bugfix] Fix Anthropic tool_use content handling dropping args (#45287)

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* [Model] Remove InternLMForCausalLM registry alias (#45128)

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* [Bug] Fix test flashmla for DSv4 (#45052)

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* [Refactor] Chat Completions Harmony Refactor, non-streaming path. (#45171)

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* [Bugfix] OffloadingConnector: respect skip_reading_prefix_cache flag (#44592)

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* [ROCm][DSv4][Perf] Flash-decode split-K decode attention kernel (#44899)

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* [Bugfix][Model] Pass revision by name in Run:ai and bitsandbytes index downloads (#45308)

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* [CI][BugFix] Fix broken `test_mamba_prefix_cache.py` due to stale mock (#45345)

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* [Bugfix] Fix --enable-prompt-tokens-details omitting zero cached tokens (#44383)

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* [ASR] Optimize CPU preproc to get 2.5x RTFx via multi-threading (#44612)

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* [11a/n]  Migrate Marlin kernels to torch stable ABI (#45176)

Signed-off-by: Chris Leonard <chleonar@redhat.com>

* [NIXL] Per-region KV transfer classification for mixed full-attn + MLA groups (#44583)

* [ROCm][CI] fix fp8 support for test_deepep_moe (#45302)

Signed-off-by: Divakar Verma <divakar.verma@amd.com>

* [Model] Add DiffusionGemma Support (#45163)

Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Martin Kukla <martin.kukla@cantab.net>
Co-authored-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Dipika Sikka <dsikka@redhat.com>
Co-authored-by: NickLucche <nlucches@redhat.com>
Co-authored-by: jiahanc <173873397+jiahanc@users.noreply.github.com>
Co-authored-by: Alec Kohlhoff <134344302+aleckohlhoff@users.noreply.github.com>
Co-authored-by: Porras Huang <20535584+porrashuang@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: scoootscooob <167050519+scoootscooob@users.noreply.github.com>

* [MM][Perf][CG] Support ViT full cudagraphs for mllama4 (#40660)

Signed-off-by: allgather <all2allops@gmail.com>
Co-authored-by: Isotr0py <mozf@mail2.sysu.edu.cn>

* [ROCm][gpt-oss] Pass GateMode.INTERLEAVE for MXFP4 W4A16 fused MoE (#44893)

Signed-off-by: Rohan Potdar <rohan.potdar@amd.com>
Signed-off-by: Rohan138 <rohanpotdar138@gmail.com>
Signed-off-by: Rohan Potdar <66227218+Rohan138@users.noreply.github.com>

* [Bugfix] Fix Dockerfile dependency graph pre-commit error (#45374)

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

* [CPU] Support CPU W4A16 INT4 MoE (#43409)

Signed-off-by: yuwenzho <yuwen.zhou@intel.com>

* [Rust Frontend][Bugfix] Forward --shutdown-timeout and --disable-log-stats to the managed Python engine (#45300)

Signed-off-by: Will Eaton <weaton@redhat.com>

* [XPU][DeepSeek-V4] Fix MTP: sync with upstream fixes #44821 and #43746 (#45240)

Signed-off-by: Ma Jian <jian1.ma@intel.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>

* [CI] ci-fetch-log.sh: fetch all failed jobs from a build URL or PR number (#45274)

Signed-off-by: mgoin <mgoin64@gmail.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* [Frontend]  Support strict mode for tool calling (#45003)

Signed-off-by: chaunceyjiang <chaunceyjiang@gmail.com>
Co-authored-by: cjackal <44624812+cjackal@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>

* [Bugfix][Rust Frontend] Return 400 for prompt-validation submit errors (#45286)

Signed-off-by: xiaguan <751080330@qq.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* Update hidden states extraction integration test triggers (#45294)

Signed-off-by: Fynn Schmitt-Ulms <fschmitt@redhat.com>

* Fix misleading error for audio duration limit rejection (#45113)

Signed-off-by: jperezde <jperezde@redhat.com>

* [Doc] AGENTS.md: add section about coding style (#45301)

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

* [11b/n] Migrate Machete kernels to torch stable ABI (#45304)

Signed-off-by: Chris Leonard <chleonar@redhat.com>
Signed-off-by: Shengqi Chen <harry-chen@outlook.com>
Co-authored-by: Shengqi Chen <harry-chen@outlook.com>

* [KV Connector]: Support KV push from Prefill to Decode node using Nixl KV Connector (#35264)

Signed-off-by: Sunita Nadampalli <nadampal@amazon.com>
Signed-off-by: NickLucche <nlucches@redhat.com>
Co-authored-by: Nicolò Lucchesi <nlucches@redhat.com>

* [Model] Remove Mono-InternVL (InternLM2VEForCausalLM) (#45129)

Signed-off-by: Xianbao QIAN <xianbao.qian@gmail.com>
Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Isotr0py <mozf@mail2.sysu.edu.cn>

* [BUGFIX][XPU] Update fa interface for compatibility (#45394)

Signed-off-by: zhenwei-intel <zhenwei.liu@intel.com>
Signed-off-by: Kunshang Ji <kunshang.ji@intel.com>
Co-authored-by: Kunshang Ji <kunshang.ji@intel.com>

* [Metrics] Add group-aware KV cache capacity to vllm:cache_config_info (#42206)

The startup log already reports the correct group-aware KV cache capacity for
hybrid models, but Prometheus did not expose matching info in 'vllm:cache_config_info`.

This PR adds kv_cache_size_tokens and kv_cache_max_concurrency.

Signed-off-by: Ethan Feng <ethan.fengch@gmail.com>

* [V1][Metrics] Add MLA attention metrics for DeepSeek MFU estimation (#39457)

Signed-off-by: Thillai Chithambaram <thillaichithambaram.a@gmail.com>
Co-authored-by: Mark McLoughlin <markmc@redhat.com>

* [Bug] Migrate Reset cache for both v2 and v1 model runner (#42759)

Signed-off-by: yewentao256 <zhyanwentao@126.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>

* [Core] Support structured outputs for beam search (#35022)

Signed-off-by: Guan-Ming (Wesley) Chiu <guanmingchiu@gmail.com>
Signed-off-by: Guan-Ming (Wesley) Chiu <105915352+guan404ming@users.noreply.github.com>

* [Core][KV Connector] fix scheduler KV connector stats aggregation (#43877)

Fixes scheduler-side KV connector stats collection so that:

1. update_connector_output() runs before scheduler-side stats are collected.
2. worker-side and scheduler-side KV connector stats are aggregated when both are present.
3. scheduler-only KV connector stats are still emitted when no worker-side stats exist.

Signed-off-by: srinivas_oo7 <sklinkedin0120@gmail.com>
Co-authored-by: srinivas_oo7 <sklinkedin0120@gmail.com>

* [Frontend] Support strict mode for tool calling with ResponsesAPI (#45396)

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

* [Docs][KV Connector][NIXL] document KV Transfer stat logging and Prometheus metrics (#44055)

Signed-off-by: Sai Sridhar <tarrasridhar1154@gmail.com>

* [Rust Frontend] Add standalone `granite4` tool parser (#45216)

Signed-off-by: Tahsin Tunan <tahsintunan@gmail.com>
Co-authored-by: Bugen Zhao <i@bugenzhao.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>

* [Model] Add encoder CUDA graph support to Lfm2VL (#44930)

Signed-off-by: vincentzed <207368749+vincentzed@users.noreply.github.com>

* [Kernel][Helion][1/N] Add Helion kernel for dynamic_per_token_scaled_fp8_quant (#33790)

Signed-off-by: Sean Chen <seachen@redhat.com>
Co-authored-by: Yanan Cao <gmagogsfm@gmail.com>

* [Model][Dflash] Enable Dflash support for Qwen3NextForCausalLM targets (#45319)

Signed-off-by: Jonas I. Liechti <j-i-l@t4d.ch>

* [Migration] Migrate GGUF quantization support to plugin (#39612)

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

* [Perf] Use native DSA indexer decode path for next_n > 2 on SM100 (#45322)

Signed-off-by: zixi-qi <zixi@inferact.ai>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Co-authored-by: Yongye Zhu <zyy1102000@gmail.com>

* [Core][AMD] Propagate shutdown timeout to MultiprocExecutor (#43154)

Signed-off-by: Ryan Rock <ryan.rock@amd.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

* [Refactor] Deprecate ResponsesParser wrapper, inline parsing into ParsableContext (#45431)

Signed-off-by: sfeng33 <4florafeng@gmail.com>

* [ROCm] Bump Torch to 2.11 (#45362)

Signed-off-by: Micah Williamson <micah.williamson@amd.com>

* [Attention] Improve attention benchmarks: configs and profiling (#39336)

Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>

* [Model Runner v2] Migration from v1 to v2, with Qwen and DSv2 MOE models [3/N] (#42667)

Signed-off-by: yewentao256 <zhyanwentao@126.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>

* [Kernel] Consolidate Marlin thread-tile padding across all dense Marlin paths (#45295)

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

* Add the QuantizedActivation linear-kernel contract (#44260)

Signed-off-by: mgoin <mgoin64@gmail.com>
Co-authored-by: Claude <noreply@anthropic.com>

* [ROCm][DSV4][Perf] Fuse inverse-RoPE and cache bf16 wo_a in o-projection (#45103)

Signed-off-by: Fangzhou Ai <fangzhouai@gmail.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* [Bugfix][CPU] Don't build triton-cpu on arm64 release image (#45401)

Signed-off-by: khluu <khluu000@gmail.com>

* [BugFix] Avoid prematurely freeing cached mm encoder outputs (#45347)

Signed-off-by: Roger Wang <hey@rogerw.io>
Signed-off-by: Nick Hill <nickhill123@gmail.com>

* [Bugfix] Set type/role explicitly in streaming message_start event (#45376)

Signed-off-by: Wayne Chiu <waynehacking8@gmail.com>

* [Bugfix] Replace deprecated Qwen2VLImageProcessorFast with Qwen2VLImageProcessor (#42700)

Signed-off-by: abinggo <107740309+abinggo@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Roger Wang <hey@rogerw.io>

* [CI] Wait for SSL cert refresher events in the test (#45489)

Signed-off-by: Andreas Karatzas <akaratza@amd.com>

* [Render] Add `/derender` endpoints for disaggregated postprocessing (#43606)

Signed-off-by: Martin Hickey <martin.hickey@ie.ibm.com>
Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
Co-authored-by: Isotr0py <mozf@mail2.sysu.edu.cn>

* [Bugfix] Return the tokenizer from maybe_make_thread_pool so it survives pickling (#45460)

Signed-off-by: Wayne Chiu <waynehacking8@gmail.com>

* [Doc] Fix uv dependency resolution failure for setuptools during CPU source builds (x86 & ARM) (#45412)

Signed-off-by: midas <the.anon.github@gmail.com>

* [Model Runner V2] Fix `openai.InternalServerError: Error code: 500 - 'list index out of range'` (#45467)

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

* Treat null completion max_tokens like the default (#45491)

Signed-off-by: Andreas Karatzas <akaratza@amd.com>

* [CI Bug] Fix `ValueError: There is no module or parameter named 'model.vision_tower.vision_model'` (#45478)

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

* [Security] Add timeout guard for regex compilation in structured outp… (#45118)

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

* [Security] Fix DoS via prompt_embeds on M-RoPE models (#45252)

Signed-off-by: jperezde <jperezde@redhat.com>

* Fix docs build on `main` (#45536)

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

* [Bugfix] Reject structured outputs for diffusion decoders with a clear error (#45468)

Signed-off-by: Wayne Chiu <waynehacking8@gmail.com>
Co-authored-by: Claude <noreply@anthropic.com>

* [Perf] SM90 cutlass fp8 mm supports odd M by swap_ab, 180~290% kernel performance improvement (#44572)

Signed-off-by: yewentao256 <zhyanwentao@126.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>

* [Core] Simplify MRV2 async output handling (#45442)

* [Bugfix] nightly Docker images crash with ImportError: AnthropicOutputConfig since May 28 (#44795)

Signed-off-by: achyuthan.s <113010327+Achyuthan-S@users.noreply.github.com>
Signed-off-by: Achyuthan S <achyuthan.sivasankar@gmail.com>
Signed-off-by: Achyuthan Sivasankar <achyuthan.sivasankar@gmail.com>
Co-authored-by: Shengqi Chen <harry-chen@outlook.com>

* [Build] Fix CUDA arch build coverage gaps (#45277)

Signed-off-by: Shengqi Chen <harry-chen@outlook.com>
Co-authored-by: Xin Li <xinli-sw@users.noreply.github.com>
Co-authored-by: ShawRong <ShawRong@users.noreply.github.com>
Co-authored-by: Change72 <Change72@users.noreply.github.com>

* [V1][Spec Decode] Add Dynamic SD (#32374)

Signed-off-by: Ekagra Ranjan <3116519+ekagra-ranjan@users.noreply.github.com>
Signed-off-by: Benjamin Chislett <chislett.ben@gmail.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Co-authored-by: Benjamin Chislett <chislett.ben@gmail.com>

* [Bugfix][DCP] Fix illegal memory access in DCP a2a decode under full CUDA graphs (#45487)

* [XPU] Support int4 group_size=32 W4A16 MoE (#45136)

Signed-off-by: Marceli Fylcek <marceli.fylcek@intel.com>
Co-authored-by: Kunshang Ji <kunshang.ji@intel.com>

* [ROCm][Perf] Enable W4A16 FlyDSL MoE (#44400)

Signed-off-by: amd-asalykov <asalykov@amd.com>
Signed-off-by: Amanzhol Salykov <asalykov@amd.com>

* [Perf] Use bisect for mm feature lookup in model runner v2 (#45566)

Signed-off-by: Roger Wang <hey@rogerw.io>

* [BugFix] Fix prompt_embeds for multimodal models (#45383)

Signed-off-by: ruinan ma <r7ma3088@gmail.com>

* Added real  /v1/embeddings support for messages + chat_template_kw  (#45173)

Signed-off-by: Taneem Ibrahim <taneem.ibrahim@gmail.com>

* [Bugfix][Model] Validate runai_streamer model_loader_extra_config (#45291)

Signed-off-by: Ting Sun <suntcrick@gmail.com>

* [Bugfix] Stream Llama4 weight loading to avoid host-OOM with copy-returning loaders (#44645)

Signed-off-by: Noa Neria <nneria@nvidia.com>

* [XPU] Enable sequence parallel support for XPU (#38608)

Signed-off-by: chaojun-zhang <chaojun.zhang@intel.com>
Signed-off-by: Chaojun Zhang <chaojun.zhang@intel.com>
Signed-off-by: Chaojun,Zhang <chaojun.zhang@intel.com>

* [Bugfix][CPU] Honor cgroup memory limit when computing KV cache size (#45086)

Signed-off-by: baoloongmao <baoloongmao@tencent.com>
Co-authored-by: Li, Jiang <jiang1.li@intel.com>

* [CPU] Refine CPU attention frontend (#45391)

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

* [Bugfix][CI] Update Dockerfile dependency graph PNG (#45602)

Signed-off-by: sfeng33 <4florafeng@gmail.com>

* [Frontend] Add Streaming Parser Engine and new Qwen3 Parser (#45413)

Signed-off-by: Ben Browning <bbrownin@redhat.com>
Co-authored-by: Flora Feng <4florafeng@gmail.com>

* Fix included router missing path for `FastAPI >=0.137` (#45629)

Signed-off-by: Roger Wang <hey@rogerw.io>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* [Bugfix][V1] Split V2 model-runner attention groups on num_heads_q (#45564)

Signed-off-by: Roger Wang <hey@rogerw.io>
Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Nick Hill <nickhill123@gmail.com>

* [Model] Remove XverseForCausalLM (#45638)

Signed-off-by: Xianbao QIAN <xianbao.qian@gmail.com>
Co-authored-by: Claude <noreply@anthropic.com>

* [Feature][Frontend] Report multimodal token counts in usage.prompt_tokens_details (#45458)

Signed-off-by: Ting Sun <suntcrick@gmail.com>

* [Bugfix] Reject out-of-range temperature values in SamplingParams (#44965)

Signed-off-by: Peter Pan <Peter.Pan@daocloud.io>

* [Bugfix][Rust] Sync EngineCoreReadyResponse with the Python dataclass (#45557)

Co-authored-by: Bugen Zhao <i@bugenzhao.com>
Signed-off-by: Will Eaton <weaton@redhat.com>
Signed-off-by: Bugen Zhao <i@bugenzhao.com>

* [Rust Frontend] Add external→internal request-id map for abort() (#45137)

Signed-off-by: Sahil Singh <sahiilsiingh37@gmail.com>

* [Models] Fix MiMo v2.x QKV TP sharding + FP4 support (#45200)

Signed-off-by: Giancarlo Delfin <gdelfin@inferact.ai>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>

* [Rust Frontend] Support `parallel_tool_calls = false` (#44760)

Signed-off-by: zhoujinyu <2319109590@qq.com>

* [Bugfix][Rust Frontend] Make metrics respect --served-model-name (#45465)

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

* [XPU] skip UT test_with_ngram_gpu_spec_decoding (#44423)

Signed-off-by: Lai, Yejing <yejing.lai@intel.com>

* [ROCm][Doc] Add installation notes about python version requirement (#45671)

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

* [Docs] Update the online serving docs. (#45676)

Signed-off-by: wang.yuqi <yuqi.wang@daocloud.io>

* [Bugfix] Unset HF's default max_new_tokens for DiffusionGemma (#45417)

Signed-off-by: Martin Kukla <martin.kukla@cantab.net>

* (security) Enforce audio upload size limit before full file materialization (#45510)

Signed-off-by: jperezde <jperezde@redhat.com>

* Fix the E8M0 scale computation in the MXFP4 (W4A4) MOE CUTLASS kernel (#43557)

Signed-off-by: Xin He <xin3.he@intel.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Co-authored-by: Kunshang Ji <kunshang.ji@intel.com>

* Remove redundant Triton KV cache dtype asserts and enforce architectural support (fp8 >= sm89) (#43914)

Signed-off-by: Mike G <180722391+mikekg@users.noreply.github.com>
Co-authored-by: Michael Gschwind <mgschwind@nvidia.com>

* [Bugfix] Two-phase KV allocation for cross-group prefix cache hits (supersedes #33775) (#44409)

Signed-off-by: Saddss <2872669061@qq.com>

* [Chore] Consolidate reasoning/tool parser attributes into unified Parser in chat serving (#45548)

Signed-off-by: sfeng33 <4florafeng@gmail.com>

* [AMD][Bugfix][Quantization] Honor fused-name match in is_layer_skipped (#43981)

* [Model] Add MiniMax M3 support (#45381)

Signed-off-by: youkaichao <youkaichao@gmail.com>
Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
Signed-off-by: Bugen Zhao <i@bugenzhao.com>
Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
Signed-off-by: functionstackx <47992694+functionstackx@users.noreply.github.com>
Signed-off-by: Yongye Zhu <zyy1102000@gmail.com>
Signed-off-by: Jee Jee Li <jeejeelee@inferact.ai>
Co-authored-by: OpenAI Codex <codex@openai.com>
Co-authored-by: Isotr0py <mozf@mail2.sysu.edu.cn>
Co-authored-by: Thien Tran <gau.nernst@yahoo.com.sg>
Co-authored-by: Bugen Zhao <i@bugenzhao.com>
Co-authored-by: Jee Jee Li <pandaleefree@gmail.com>
Co-authored-by: Roger Wang <hey@rogerw.io>
Co-authored-by: functionstackx <47992694+functionstackx@users.noreply.github.com>
Co-authored-by: Yongye Zhu <zyy1102000@gmail.com>
Co-authored-by: Jee Jee Li <jeejeelee@inferact.ai>

* [KV Offloading] Implement `reset_cache` for `TieringOffloadingManager` (#44541)

Signed-off-by: Ronen Schaffer <ronen.schaffer@ibm.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>

* [Bugfix] Chat Completions Harmony Refactor Clean up (#45464)

Signed-off-by: Yifan Zong <yzong@redhat.com>
Co-authored-by: Ben Browning <bbrownin@redhat.com>

* [Perf] Optimize DSv4 prefill chunk planning, 4.0% E2E Throughput Improvement (#45061)

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

* [Frontend] Skip structural tags for auto tool_choice without strict mode (#45600)

Signed-off-by: sfeng33 <4florafeng@gmail.com>

* [Model Runner V2][Bugfix] Fix MRV2 LoRA warmup (#35536)

Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
Signed-off-by: Jee Jee Li <jeejeelee@inferact.ai>
Signed-off-by: Woosuk Kwon <woosuk@inferact.ai>
Co-authored-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Woosuk Kwon <woosuk@inferact.ai>

* Fix parallel_tool_calls: null treated as false instead of default true (#44955)

Signed-off-by: factnn <166481866+factnn@users.noreply.github.com>

* [Frontend] Replace legacy Gemma4 parsers with engine-based implementation (#45588)

Signed-off-by: Ben Browning <bbrownin@redhat.com>
Co-authored-by: Flora Feng <4florafeng@gmail.com>

* [Bugfix] Defer block freeing until in-flight steps finish under async scheduling + PD KV consumer (#45357)

Signed-off-by: llx-08 <2596671364@qq.com>
Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Jiangyun Zhu <riverclouds.zhu@qq.com>

* nixl_ep: Skip post-receive quantization for NVFP4 (#45606)

Signed-off-by: Itay Alroy <ialroy@nvidia.com>

* [EP] Query NIXL EP top-k index dtype (#45298)

Signed-off-by: Itay Alroy <ialroy@nvidia.com>

* [EP] Enable DBO with NIXL EP (#45275)

Signed-off-by: Itay Alroy <ialroy@nvidia.com>

* [DSV4][Minor] Fix supported KV cache dtypes (#44892)

Signed-off-by: Woosuk Kwon <woosuk@inferact.ai>

* [Misc][Model] add io processor for query/document embeddings from ColBERT (jinaai/jina-colbert-v2) (#45210)

Signed-off-by: thomas <thomas.varghese@columbia.edu>

* [Rust Frontend] Support `max_logprobs` validation (#45674)

Signed-off-by: Bugen Zhao <i@bugenzhao.com>

* [Rust Frontend] Lower out-of-vocab validation to `text` layer (#45685)

Signed-off-by: Bugen Zhao <i@bugenzhao.com>

* [Multimodal] Add Qwen3-VL video loader (#44412)

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

* [BugFix] Support async scheduling with prompt embeds for multimodal models (#45673)

Signed-off-by: Ruinan Ma <r7ma3088@gmail.com>

* [XPU] Fix Triton attn fp8/bf16 check failing (#45758)

Signed-off-by: zhenwei-intel <zhenwei.liu@intel.com>

* [Bugfix][Gemma4] Fix offline parser truncation, adjust_request token leak, and chat template sync (#45553)

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* [Rust Frontend] Require `ModelConfig.vocab_size` to be present (#45696)

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* [Frontend] [Parser] Migrate Nemotron V3 to streaming parser engine  (#45755)

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* [Core] Use fastsafetensors ParallelLoader for weight loading (#40183)

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* Register parsed config classes before tokenizer init (#40299)

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* [Misc] Added validation for Cohere /v2/embed input field exclusivity (#45640)

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* [Cleanup] Remove dead env (#45777)

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* [Bug Fix] Allow pinned memory for WSL2 (#41496)

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* [CPU] Support Gemma Diffusion (#45690)

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* [Bugfix] Prevent cuMemcpyBatchAsync segfault with MTP and KV offloading (#44784)

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* [Frontend] Remove AsyncMicrobatchTokenizer. (#45759)

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* [Bugfix] Fix trtllm fused allreduce+rms_norm for transformers backend (#45307)

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* [XPU][CI] add intel xpu cases for nightly CI (#44372)

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* [Misc]Clean up useless test (#45792)

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* Add Triton recompile detection (#45631)

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* [MM][Perf][CG] Support dual-path ViT full CUDA graph for DeepSeek-OCR (#43586)

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* [KV Connector][Mooncake] Pipeline-parallel support for PD-disaggregated serving with Mooncake connector (#44528)

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* [Refactor] Remove `Fp8OnlineLinearMethod` as scheduled (#45463)

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* [ZenCPU] Add zencpu Platform Runtime Logging and Docs (#42726)

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* [ROCm][CI] Gate incompatible HF references on Transformers v5 (#41532)

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* [Quant] Support modelopt_mixed on Ampere (SM80/SM86) (#45306)

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* [CI] Fix attention benchmark smoke test (#45728)

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* [Rust Frontend] Add CORS support (#45753)

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* [Bugfix] Fix FlashMLA sparse accuracy with topk_length and zero-init padding (#36616)

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* feat: MLA prefill enable FA4 fp8 output (#43050)

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* [Model] Add HrmTextForCausalLM (Hierarchical Reasoning Model — Text) (#43098)

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* Upgrade tpu-inference to v0.22.1 (#45793)

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* [Model] Remove Dots1ForCausalLM (#45637)

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* [Frontend] Add Streaming Parser Engine and new MinimaxM2 Parser (#45701)

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* [Bugfix] Fix Qwen3 prompt tool-call reasoning false positive (#45763)

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* [PERF] Fuse multi-group block table staged writes (#44944)

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* [ROCm][Quant] mxfp8 moe/linear gfx950 tuning for MiniMax-M3 (#45725)

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* [Misc] Update Mergify tool-calling label  (#45853)

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* [Core] Add prefill step cadence for better non-PD DP balancing (#44558)

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* [ROCm][CI] fix multimodel run cmds (#45858)

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* [Bugfix] Gemma4: skip forced JSON for required/named tool choice (#45795)

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* [Kernel] Support GLM-5 dimensions for TRT-LLM ragged MLA prefill (#43525)

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* Apply LRU policy only to proper cache entries (#42656)

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* [Kernel] Support DS Mamba tail copy for MTP align mode (#45473)

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* [XPU][CI] fix server test file path (#45870)

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* [Bugfix] Fix MoE model load OOM in FlashInfer_TRTLLM  backend with sleep mode (#45589)

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* [Bugfix][Gemma4] Fix parsing when thinking is disabled (#45832)

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* [CI] Run pre-commit on self-hosted vllm-runners (#45865)

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* [XPU] Fix test_spec_decode_logprobs: use FLASH_ATTN for XPU in GPU_DETERMINISM_KWARGS (#44468)

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* [Bugfix][ROCm] Fix MiniMax-M3 FP8 KV cache dtype (#45720)

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* [Bugfix][ROCm] Fix FP8 per-tensor scale rank mismatch causing Inductor assertion failure (#44912)

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* [ModelRunnerV2] Various model/config compatibility fixes (#45868)

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* [Bugfix][V1] Clean up compiled-model bytecode hooks on VllmRunner exit (#45195)

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* [FlexAttention] make custom mask mods fully cudagraphable (#45232)

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* [M3] Tune Triton indexer score decode for spec-decode (#45743)

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* [CI][NIXL] Pin NIXL to 1.2.0 (#45843)

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* [M3] Enable FP8 sparse GQA (#45744)

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* [Bugfix][Quantization] Reject unsupported compressed tensors KV cache schemes (#45312)

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* [BugFix][CI] Fix scheduler plugin test (#45897)

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* [Rust Frontend] Support prompt-only completions (#44938)

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* [Rust Frontend] Add /abort_requests endpoint (#44382)

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* [Rust Frontend] Add serde defaults for omit_defaults fields in `EngineCoreSamplingParams` (#45848)

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* [Kernel] Add weightless RMSNorm CUDA kernels for has_weight=False (#41430) (#44109)

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* [Misc] Validate Cohere Embed Mixed Content Payloads (#45873)

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* [Rust Frontend] Support hybrid/external DP LB in Python supervised bootstrap (#45805)

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* [KV Connector][Offloading] Avoid blocking the engine to flush offloads on idle (#45595)

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* [Bugfix] Fixes MiniCPM-O resampler device placement to avoid tensor device mismatch (#42332)

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* [Bugfix][Gemma4] Pre-initialise streaming reasoning state when prompt ends inside an open `<|channel>` (fixes #45834) (#45852)

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* [Bugfix][test] Use Salesforce/wikitext for ppl tests (#45913)

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* fix(security): enforce audio decode duration limit in chat completions path (#45908)

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* [ROCm][Bugfix]: Fallback GFX942 sparse MLA ops to Triton (#45782)

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* docs, kv_offloading: add docs for selective offload (#45279)

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* [ROCm][Quant] Minimax-M3:  Enable fp8_per_channel for bf16 weights on mi300x (#45854)

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* [MM][Perf][CG] Support ViT full CUDA graph for Kimi-VL (#41992)

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* [CI/Build] Avoid duplicate ViT CG test introduced by accident (#45654)

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* [XPU] Fix test_logprobs_e2e import error: pin lm-eval[api]>=0.4.12 (#44469)

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* [quant][autoround]Refactor INC quantization into package with INCScheme orchestrator (#40601)

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* [ROCm][AITER][Quark] Tag per-channel FP8 weights as PER_CHANNEL so AITER pre-shuffled GEMM is selected (#44626)

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* Feature: Enable Flashinfer non-gated MoE bf16 (#43853)

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* [DSv4 Perf] DSv4 flashinfer sparse index cache for metadata, 2%~4% TTFT improvement (#45863)

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* [Kernel][Helion][1/N] Add Helion kernel for rms_norm_dynamic_per_token_quant (#34432)

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Co-authored-by: Yanan Cao <gmagogsfm@gmail.com>

* [Bugfix][PD] Fix DSV4 disaggregated serving (#45831)

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* [Bugfix] Pass TP group to FlashInfer all-reduce fusion (#45917)

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* [Log] Update deepgemm log (#45857)

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* [DSV4 Perf] Optimize dsv4 cudagraph by reducing `eager_break_during_capture`, 26.8% ~ 27.9% E2E TTFT improvement (#45309)

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* [feature] MiniMax-M3-MXFP4 support added (#45896)

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* [Bugfix] MiniMax-M3 (AMD): add packed_modules_mapping and pass swiglu… (#45794)

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* [Refactor] Remove dead quantization code and tests (#45454)

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* [Bugfix][Gemma4] Render reasoning on assistant turns without tool_calls (#45867)

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* [Bugfix][Model] Validate DefaultModelLoader / LoadConfig and fail with clear errors (#45196)

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* [BUG] fix hidden states nan for hybrid attention models (#45849)

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* [Bugfix] Fix NixlConnector handshake block_len validation for GQA-replicated KV heads (#45879)

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* Revert "[DSV4 Perf] Optimize dsv4 cudagraph by reducing `eager_break_during_capture`" (#45309) (#45972)

Signed-off-by: Woosuk Kwon <woosuk@inferact.ai>
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* [XPU][CI] add model runner v2 into CI (#44650)

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* [CI/Build][Bugfix] Fix SD LoRA  (#45941)

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

* [Bugfix] Complete one-shot fused all-reduce PDL at end to avoid NaN (#45448)

* [Rust Frontend][Perf] O(n) argument scan in tool parser (#45826)

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Signed-off-by: Bugen Zhao <i@bugenzhao.com>

* [XPU] Fix FP8 block-scaled scheme selection on non-CUDA platforms (#43958)

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* [Rust Frontend] Validate tokenized bad_words vocabulary range (#45876)

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* [CPUOffloading] Guard CPU eviction check (#45757)

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* [SimpleCPUOffloadConnector]: Add support for reset_cache() (#39726)

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* [Kernel] Add PDL support for DeepGEMM kernel (#42996)

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* [Fix][KV offload] Defer `on_request_finished` until in-flight transfers drain (#45823)

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* [Refactor] Remove dead cutlass mxfp8 code (#44681)

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* [KV Offloading] Remove dummy worker-side stats from OffloadingConnector (#45905)

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* [Test][KV Connector] Add request_finished fence population tests for offloading scheduler (#45679)

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* Revert "[Kernel] Add PDL support for DeepGEMM kernel" (#45999)

* [XPU] Update nixl to v0.10.1 in Dockerfile (#40287)

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* fix(layernorm): route weightless RMSNorm to native impl

The vllm_c rms_norm/fused_add_rms_norm guards claimed support for
weight=None, but torch.ops._C.rms_norm cannot take a None/undefined weight
(fails with 'Not yet supported ScalarType'). Weightless norms (e.g. Gemma4
v_norm, has_weight=False) now correctly fall back to the native impl.

* test(steering): retarget key-coercion test at coerce_steering_spec

The SetSteeringRequest.vectors field is intentionally dict[str, Any] (to
admit the packed wire form), so the model does not coerce inner layer keys;
coerce_steering_spec does. Test the actual coercion seam (which had no
direct coverage) instead of obsolete model-level behavior.

* fix(capture): skip broken consumer entry points instead of crashing

A single third-party capture-consumer plugin that fails to import (e.g.
one referencing a module not present in this build) previously crashed
_load_entry_points and took down all capture admission. Skip it with a
warning so other consumers keep working.

---------

Signed-off-by: Sean Chen <seachen@redhat.com>
Signed-off-by: Wentian Byte <3400259131@qq.com>
Signed-off-by: RickyChen / 陳昭儒 <ricky.chen@infinirc.com>
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Co-authored-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>
Co-authored-by: Stan Wozniak <77159600+s3woz@users.noreply.github.com>
Co-authored-by: sungsoo ha <sungsooh@nvidia.com>
Co-authored-by: Thomas Parnell <tom.parnell@gmail.com>
Co-authored-by: Dakai An <77474977+andakai@users.noreply.github.com>
Co-authored-by: Federico <fiezzi@google.com>
Co-authored-by: Cameron Quilici <cjquilici@gmail.com>
Co-authored-by: TJian <tunjian.tan@embeddedllm.com>
Co-authored-by: nehmathe2 <nehmathe@amd.com>
Co-authored-by: Divakar Verma <divakar.verma@amd.com>
Co-authored-by: liangel-02 <liangel@meta.com>
Co-authored-by: ovidiusm <ovidium@nvidia.com>
Co-authored-by: arghyadeep sarkar <args.sarkar@gmail.com>
Co-authored-by: Itay Etelis <92247226+Etelis@users.noreply.github.com>
Co-authored-by: Itay Etelis <itay.etelis@ibm.com>
Co-authored-by: Itay Etelis <Itay.etelis@gmail.com>
Co-authored-by: Joel Smith <j.smith9103@outlook.com>
Co-authored-by: Nikhilesh Chhetri <106703537+nikhilesh-csa@users.noreply.github.com>
Co-authored-by: wentian-byte <192079369+wentian-byte@users.noreply.github.com>
Co-authored-by: Angelo Ruocco <ang@zurich.ibm.com>
Co-authored-by: Oğuzhan KIR <86883236+oguzhankir@users.noreply.github.com>
Co-authored-by: Yi Liu <yi4.liu@intel.com>
Co-authored-by: n1ck-guo <heng.guo@intel.com>
Co-authored-by: Zhenzhong1 <zhenzhong.xu@intel.com>
Co-authored-by: xaguilar-amd <xavier.aguilarfruto@amd.com>
Co-authored-by: amirkl94 <203507526+amirkl94@users.noreply.github.com>
Co-authored-by: zhanqiuhu <49648934+ZhanqiuHu@users.noreply.github.com>
Co-authored-by: danisereb <daserebrenik@nvidia.com>
Co-authored-by: qli88 <qiang.li2@amd.com>
Co-authored-by: wangjiaxin99 <jiaxwang@amd.com>
Co-authored-by: Douglas Lehr <91553416+dllehr-amd@users.noreply.github.com>
Co-authored-by: shanjiaz <zsjwpianpian@gmail.com>
Co-authored-by: shanjiaz <hezhao@redhat.com>
Co-authored-by: Bryan Shan <58582368+Oseltamivir@users.noreply.github.com>
Co-authored-by: Ace Eldeib <aeldeib@coreweave.com>
Co-authored-by: Varun Sundar Rabindranath <varun-sundar-rabindranath@h100-01.nemg-001.lab.rdu2.dc.redhat.com>
Co-authored-by: Jonathan Chen <chenleejonathan@gmail.com>
Co-authored-by: AlexHuang <alex.tech.lab@outlook.com>
nkzhenhua pushed a commit to nkzhenhua/vllm that referenced this pull request Jun 24, 2026
…2726)

Signed-off-by: Lalithnarayan C <Lalithnarayan.C@amd.com>
Signed-off-by: Tyler Michael Smith <tlrmchlsmth@gmail.com>
Co-authored-by: Tyler Michael Smith <tlrmchlsmth@gmail.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com>
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cpu Related to CPU backends documentation Improvements or additions to documentation ready ONLY add when PR is ready to merge/full CI is needed

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