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
- [Attention] PCP alternative implementation
- [ROCm] Add cascade attention support for AITER FlashAttention backend
- [Feature] Add /live liveness probe, LLM.shutdown(), and k8s shutdown docs
- [Hybrid][KVCache] Adjust alignment block size according attn supported kernel sizes
- [Bugfix] Disable TMA on Blackwell GPUs to fix Triton autotuner OOM in fla/solve_trilfix: disable TMA on Blackwell (sm_12x) to prevent Triton autotuner OO…
- Add structured output support for beam search in online serving
- Fused BMM+FP8 quant Triton kernel for MLA _v_up_proj (forward_mqa path)
- [Attention] Add FlashInfer FA2 MLA attention backend for SM120
- Fix multi-node WorkerProc init ordering and compilation_time None
- [Performance] Add CUDA graph optimization for classify pooler
- Docs
- Python not yet supported