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
- [Feature]: Integrate fused `kMoEFinalizeARResidualRMSNorm` from FlashInfer
- [Feature]: Support responses api in tokenize endpoint
- [Bug]: UX of Weight Prefetchers on Startup Failure
- [MoE] Move triton experts to fused_moe/experts/
- [MoE] Move flashinfer cutlass moe to fused_moe/experts/
- [MoE] Move marlin moe to fused_moe/experts/
- [MoE] Move aiter experts to fused_moe/experts/
- [Kimi] Track Kimi K2.5/K2.6 MLA + EAGLE serving on Blackwell (DCP4/DCP8, FP8 KV, draft backend split)
- [Bug]: Forced tool_choice crashes with AssertionError when reasoning_parser consumes all content
- [AMD][CI Failure][Tracker] Static dashboard tracker for current CI failures
- Docs
- Python not yet supported