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
- Add QK-Norm+RoPE fusion with auto-enable via AITER for ROCm
- [Bug]: [ROCm CI] HuggingFace dataset loading fails with "Feature type 'List' not found"
- [Bug]: SM12.1 / GB10 still fails in CutlassFp8BlockScaledMMKernel after #41215
- [Kernel] Add fused CUDA kernels for MoE non-gated activations
- [Bug]: `json_object` structured output is not enforced after Qwen thinking because reasoning end token is missed with async scheduling + spec decode
- [Bug]: integer overflow in fused_add_rms_norm
- [XPU][MoE] Enable MoE kernel unit tests on Intel XPU
- [CI] Fix recurring NCCL workspace leak on subprocess engine shutdown
- fix(benchmark): correct `SpecBench.sample` method signature to suppor…
- [Bugfix][Async][SpecDecode] Fix async MTP placeholder draft token handling
- Docs
- Python not yet supported