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
- [Bugfix] Fix level-2 sleep/wake crash with enable_lora=True
- [V1][LoRA] Version prefix-cache keys for local runtime LoRA reloads
- [Bugfix] Hermes tool parser: parse tool call JSON by object boundary, not literal </tool_call>
- [Bugfix] Fix collect_env.py crash on non-Linux platforms
- [KV Connector][4/N][NIXL] Recover all dedup'd HMA pool members (FA + multi-group SSM) under PP
- [Bug][ROCm/gfx942] GPU memory access fault (worker crash) when sequences cross 2048 tokens — DeepSeek V4 flash arch, sparse_attn_indexer + fp8 KV cache, MI325X TP=4
- [ModelRunner v2] Enable MRV2 for all pooling models by default
- [Roadmap] 2026 Q3 vLLM × RL
- docs: add community health files (CHANGELOG.md)
- [Doc] Clarify that max_num_batched_tokens also shrinks the KV cache pool
- Docs
- Python not yet supported