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chore(deps-dev): update vllm requirement from >=0.22.1 to >=0.25.1#466

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chore(deps-dev): update vllm requirement from >=0.22.1 to >=0.25.1#466
dependabot[bot] wants to merge 1 commit into
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dependabot/pip/vllm-gte-0.25.1

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Updates the requirements on vllm to permit the latest version.

Release notes

Sourced from vllm's releases.

v0.25.1

vLLM v0.25.1

Highlights

This release features 2 commits from 2 contributors (1 new)!

v0.25.1 is a patch release containing two targeted bug fixes on top of v0.25.0.

Bug Fixes

  • Avoid blocking model launching when no system FFmpeg is available for TorchCodec (#47888). Previously import torchcodec raised a RuntimeError at import time when system FFmpeg was missing, which blocked startup (e.g. vllm serve Qwen/Qwen3-VL-2B-Instruct) even when TorchCodec was not in use. The error is now deferred to runtime so it only surfaces if TorchCodec is actually needed.
  • Guard mixed-dtype allreduce RMSNorm quant fusions (#48330). The fused FlashInfer allreduce + RMSNorm + static-quantization patterns could match graphs where the activation and RMSNorm weight dtypes differ (e.g. a BF16 residual stream with an FP32 Gemma/Qwen-style RMSNorm weight in NVFP4 models), corrupting the hidden state and producing garbage output such as repeated !!!!! tokens. A dtype-match guard now routes incompatible mixed-dtype graphs to the safe path, while same-dtype models retain the full allreduce + RMSNorm + quant fusion.

Contributors

@​Isotr0py, @​hugo-cen

New Contributors

Commits
  • 752a3a5 [Bugfix] Guard mixed-dtype allreduce RMSNorm quant fusions (#48330)
  • 3c31722 [Bugfix] Avoid blocking model launching when no system ffmpeg available for T...
  • 702f481 [docs] Fix the docs build (#48008)
  • dd10e03 Pin PyNvVideoCodec to tested 2.0.4 wheel (#48056)
  • 3d1c21a [P/D][Bugfix] Fix PD async KV load lookahead handling for MTP spec decode (#4...
  • e89b9c2 [XPU] Fix Event init failure w/ blocking (#47868)
  • 8bbc006 Fix embed scaling + CUDA graphs in Transformers modelling backend (#48010)
  • 65168ef Allow FlashInfer A2A backends for TRTLLM FP8 MoE Modular (#46661)
  • 51e3572 [Bug] Fix Batched DeepGEMM (#47884)
  • 654e9e5 [Model] Support MOSS-Transcribe-Diarize (#47729)
  • Additional commits viewable in compare view

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Updates the requirements on [vllm](https://github.com/vllm-project/vllm) to permit the latest version.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.22.1...v0.25.1)

---
updated-dependencies:
- dependency-name: vllm
  dependency-version: 0.25.1
  dependency-type: direct:development
...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jul 15, 2026
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