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Bump vllm from 0.6.3 to 0.8.5 #19

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@dependabot dependabot bot commented on behalf of github Apr 29, 2025

Bumps vllm from 0.6.3 to 0.8.5.

Release notes

Sourced from vllm's releases.

v0.8.5

This release contains 310 commits from 143 contributors (55 new contributors!).

Highlights

This release features important multi-modal bug fixes, day 0 support for Qwen3, and xgrammar's structure tag feature for tool calling.

Model Support

  • Day 0 support for Qwen3 and Qwen3MoE. This release fixes fp8 weight loading (#17318) and adds tuned MoE configs (#17328).
  • Add ModernBERT (#16648)
  • Add Granite Speech Support (#16246)
  • Add PLaMo2 (#14323)
  • Add Kimi-VL model support (#16387)
  • Add Qwen2.5-Omni model support (thinker only) (#15130)
  • Snowflake Arctic Embed (Family) (#16649)
  • Accuracy fixes for Llama4 Int4 (#16801), chat template for Llama 4 models (#16428), enhanced AMD support (#16674, #16847)

V1 Engine

  • Add structural_tag support using xgrammar (#17085)
  • Disaggregated serving:
    • KV Connector API V1 (#15960)
    • Adding LMCache KV connector for v1 (#16625)
  • Clean up: Remove Sampler from Model Code (#17084)
  • MLA: Simplification to batch P/D reordering (#16673)
  • Move usage stats to worker and start logging TPU hardware (#16211)
  • Support FlashInfer Attention (#16684)
  • Faster incremental detokenization (#15137)
  • EAGLE-3 Support (#16937)

Features

  • Validate urls object for multimodal content parts (#16990)
  • Prototype support sequence parallelism using compilation pass (#16155)
  • Add sampling params to v1/audio/transcriptions endpoint (#16591)
  • Enable vLLM to Dynamically Load LoRA from a Remote Server (#10546)
  • Add vllm bench [latency, throughput] CLI commands (#16508)

Performance

  • Attention:
    • FA3 decode perf improvement - single mma warp group support for head dim 128 (#16864)
    • Update to lastest FA3 code (#13111)
    • Support Cutlass MLA for Blackwell GPUs (#16032)
  • MoE:
    • Add expert_map support to Cutlass FP8 MOE (#16861)
    • Add fp8_w8a8 fused MoE kernel tuning configs for DeepSeek V3/R1 on NVIDIA H20 (#16753)
  • Support Microsoft Runtime Kernel Lib for our Low Precision Computation - BitBLAS (#6036)
  • Optimize rotary_emb implementation to use Triton operator for improved performance (#16457)

Hardwares

  • TPU:
    • Enable structured decoding on TPU V1 (#16499)
    • Capture multimodal encoder during model compilation (#15051)

... (truncated)

Commits
  • ba41cc9 [Model] Add tuned triton fused_moe configs for Qwen3Moe (#17328)
  • dcbac4c [Model] Qwen3 Dense FP8 Compat Fixes (#17318)
  • ed24620 [Bugfix] Fix moe weight losing all extra attrs after `process_weights_after_l...
  • cc5befb [BugFix] Fix cascade attention - RuntimeError: scheduler_metadata must have s...
  • 2c89cd9 [Chore] cleanup license indicators in light of SPDX (#17259)
  • a0304dc [Security] Don't bind tcp zmq socket to all interfaces (#17197)
  • c7941cc Explicitly explain quant method override ordering and ensure all overrides ar...
  • b6dd32a Make name of compressed-tensors quant method consistent across vLLM (#17255)
  • f948869 Improve conversion from dataclass configs to argparse arguments (#17303)
  • 72dfe4c [Docs] Add a security guide (#17230)
  • Additional commits viewable in compare view

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Bumps [vllm](https://github.com/vllm-project/vllm) from 0.6.3 to 0.8.5.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.6.3...v0.8.5)

---
updated-dependencies:
- dependency-name: vllm
  dependency-version: 0.8.5
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Apr 29, 2025
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