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
- [Kernel][Helion] Add numerics checks to benchmark script
- Remove all boilerplate from per-model `load_weights` methods
- [Bugfix][Platform] sm12x: add FLASHMLA_SPARSE (Triton sparse-MLA) to the MLA-sparse backend candidate list — flashinfer sparse_mla_sm120 livelocks on GB10
- [Bugfix][Spec Decode] Reach TP consensus on the drafter-pass gate before launching drafter collectives (fixes rank-divergent wedge at max_model_len boundary)
- [Mypy Fix] Mypy fix for "vllm/model_executor/models/[aA][bB]"
- [Model] Add MiniCPM-SALA (hybrid Lightning Attention + InfLLM-V2-ready GQA)
- [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
- [Frontend] Add vllm snapshot create and CRIU restore for serve, default-on in the Docker image
- Docs
- Python not yet supported