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
- [Attention][MiniMax-M3] Add FlashInfer MSA backend for SM120/SM121
- [Bug]: XQA decode under FULL cudagraph capture silently corrupts attention output (fp8 and nvfp4 KV)
- [Bugfix] Propagate VLLM_MARLIN_INPUT_DTYPE into INC/AutoRound quant path
- [Doc] Correct gRPC and OpenTelemetry flag names in security and metrics docs
- Unexpected EngineCore death exits serving process 0, defeating Restart=on-failure
- [Bug]: LoRA on MLA kv_b_proj is silently never applied — decode bypasses it via absorption, prefill via a stale pre-wrap reference
- [Do not merge!] [Build] Migrate vendored DeepGEMM from pybind to TORCH_LIBRARY (abi3)
- [Bug]: Anthropic /v1/messages renders system-role messages inside `messages` positionally into the chat template (breaks Claude Code >=2.1.2xx tool calling)
- [HelionLinearBackend][2/N] Add helion_cutlass_hybrid_scaled_mm c++ kernel
- [Bugfix][Spec Decode] Fix DSpark bonus-anchor query width accounting
- Docs
- Python not yet supported