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
- [ROCm][MiniMax-M3] Fuse input-side all-reduce + RMSNorm in the AMD decoder
- [Bug]: Gemma4 MoE (26B-A4B) aborts with "nanobind::builtin_exception: Expected an MLIR object (got OpResultList)" during CUDA graph capture on H200 (SM90) with FA4
- [RFC]: Implement return indexer topk for sparse attention.
- [Bug]: Humming backend hits CUDA illegal memory access on Qwen3.5-397B-A17B-GPTQ-Int4 startup, while Marlin works
- [Doc] Fix broken disaggregated example link in kv_transfer README
- [Bug]: RuntimeError: UVA is not available
- [Frontend] Add detokenization streaming derender for disaggregated serving
- [Attention] Fix cascade NameError + D2H sync in triton/rocm backends
- [Kernel][XPU] Tensor-descriptor activation load for AWQ Triton GEMM
- [Kernel][XPU] Tensor-descriptor operand loads for Triton W8A8 scaled_mm
- Docs
- Python not yet supported