chore(deps): bump vllm from 0.25.0 to 0.25.1 in /backend/python/vllm

[dependabot]

Bumps vllm from 0.25.0 to 0.25.1.

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

• @​hugo-cen made their first contribution in vllm-project/vllm#48330

Commits

• 752a3a5 [Bugfix] Guard mixed-dtype allreduce RMSNorm quant fusions (#48330)
• 3c31722 [Bugfix] Avoid blocking model launching when no system ffmpeg available for T...
• See full diff in compare view

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