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
- [MoE][Kernel] Add optional HPC BF16xFP32 router GEMM
- fix(sampler): fall back to native sampling when flashinfer is absent
- [Bug]: [Parser] kimi_k2 streaming tool-call args skip schema type coercion applied in non-streaming (silent type mismatch)
- [Bugfix][Parser] kimi_k2: route streaming through arg_converter so schema type coercion applies
- [Bug]: logprob_token_ids: [] silently bypasses validation and is discarded, on both Chat Completions and Completions
- [Feature][MoE]W4A16 cold-expert CPU offload via in-graph HIP gather (experimental)
- [Bugfix][Kernel] Fixes issue #49290: MRotaryEmbedding Triton kernel hardcodes Neox pairing for GPT-J style models
- [Loader] Support prefetch in multi-thread safetensors loader
- [Frontend] Add --max-waiting-queue-length to bound the waiting queue
- [CI Failure]: LM Eval Humming Act fp8/int8
- Docs
- Python not yet supported