vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- fix(v1): surface worker init failure root cause to the parent
- [Bugfix][Hardware][XPU] Fix Gemma4 performance regression by allowing platform-native attention
- [AutoRound] Support AutoRound Format Block-Wise FP8 in vLLM
- [BUGFIX] Fix opencua processor on transformers 5
- [Bugfix] Clear response format constraints when tool_choice is auto
- Fix OOB scale reads in Triton MXFP4 matmul kernel causing NaN outputs
- [RFC]: Port vLLM-built Hopper and Blackwell C++ CUDA kernels to CuTeDSL
- [Bug]: DiffusionGemma output unstable (v0.24.0)
- [Bug]: Block-scaled FP8 (compressed-tensors W8A8) crashes on load on SM120 Blackwell (RTX PRO 6000), v0.24.0 — DeepGEMM "Unknown SF transformation" assertion
- [Bugfix][CPU] Fix data-parallel EngineCore processes all binding to the same NUMA node
- Docs
- Python not yet supported