vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- Draft: Xqa specdec
- [Frontend] feat: expose stop reason in token generate responses
- Fix SimpleCPUOffload load-path race — add cross-stream sync (WAR)
- Fix modelscope >= 1.38 compatibility in modelscope_list_repo_files
- [Bugfix] Respect explicit target device on macOS
- [Bugfix] Handle HarmonyError in streaming process_chunk (gpt-oss)
- [RFC]: Sparse-attention-based self-speculative decoding (StreamingLLM, then Vegas)
- Revert "Weight sync refactor + move sparse nccl engine" (#44353)
- [Bugfix] Cap available ram at the amount reported by cgroups if possible
- [Spec Decode] Add DSpark support for Qwen3.5 target models
- Docs
- Python not yet supported