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
- [CPU] Add CPU FP8 W8A8 linear/MoE support
- [XPU] Support mxfp4 Sequence Parallelism on XPU
- [Bug]: Nemotron 3 Nano NVFP4 plain TP8 fails on Hopper/Marlin because TP shards split 16-value quantization groups
- [Bugfix] cumem_allocator: return None via Py_IncRef, not Py_RETURN_NONE
- [Bugfix] Fix ModelOpt NVFP4 TP shard alignment
- [Regression] Trailing <turn|> token appearing at the end of generated text in vLLM 0.26.0
- [CPU] Fix torch.compile crash from torch.accelerator.synchronize on CPU-only hosts
- [Bugfix][KV Offload] Fix hybrid DCP block geometry
- [Bugfix][KV Connector] Clip DCP block lists by effective span
- [Bugfix][KV Connector] Fix MoRIIO DCP block span
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- Python not yet supported