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
- [Bug]: `/v2/embed` with `input_type` returns misleading 400 on nemotron-embed-vl
- [Bug]: Qwen/Qwen3.6-27B - Batch Inference still not working in vllm 0.19.1
- [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)
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