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
- [Bug]: triton cache path for standalone_compile seems wrong
- Document CPU weight loading functionality with comprehensive examples and FAQ
- [Rocm] [quantization] support quark wmxfp4 for gptoss
- [Bug]: Mismatch with prompt logprobs with the same prompt
- [Feature] Improve GGUF loading from HuggingFace user experience
- [Usage]: Is there a simple way to pass embedding directly in V1
- fp4 support for triton unified attention
- [Bug]: tensorizer model loading with tensor parallelism increases memory requirements
- [Bug]: vLLM subprocesses remain alive after parent process/server exits (MCP client exit → vLLM still alive)
- [P/D] Support async transfer for P2P NCCL connector
- Docs
- Python not yet supported