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
- [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
- [Bug][XPU]: zeMemOpenIpcHandle INVALID_ARGUMENT on 2x Arc B50 (Battlemage) TP=2
- [Do not merge!] [Build] Migrate vendored DeepGEMM from pybind to TORCH_LIBRARY (abi3)
- [Bugfix] Fix humming crash on ParallelLMHead (output_partition_sizes, has_bias)
- [Perf][Triton] Reassociate softmax scale onto Q in unified attention
- Docs
- Python not yet supported