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] API hangs/deadlocks when requesting logprobs on multi-node Ray deployment (PP=2, TP=8)
- [Bug]: Qwen3.5 (Qwen3_5ForConditionalGeneration) FLA linear attention tensor format mismatch causes gibberish output
- [Bug]: KV block corruption under rapid LoRA adapter alternation
- Cp+nixl
- [Bug]: RCCL RDNA3 gfx1100 Tp2 ROCM at startup
- [Feature]: Better base64 to torch tensor (Fixes #26781)
- [Feature] Implement Mean Pool Connector to return mean pooled vector over prompt tokens in response
- [Bugfix] too many values to unpack in dispatch_cpu_unquantized_gemm
- [Kernel fusion] QK Norm + RoPE + Cache + Quant
- [Bugfix] Opt-in INFO prompt summaries for request logging (--enable-log-request-prompts)
- Docs
- Python not yet supported