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]: RedhatAI/Qwen3-30B-A3B-FP8-dynamic TP=1 H100 RuntimeError: CUDA driver error: an illegal memory access was encountered
- [Bug]: Too many values to unpack in dispatch_cpu_unquantized_gemm [LiquidAi/LMF2]
- [Usage]: How to Add torch.cuda.nvtx Code in vLLM to Monitor Model GPU Usage
- [Bug]: gpt-oss-120b failed with data-parallel-size >1
- [MISC] Refactor allreduce dispatching
- [Feature]: Disable ANSII colors in logs of OpenAI compatible server
- [RFC]: Generalized KV cache reuse
- [Bug]: VLLM V1 Engine crashes with KeyError when processing concurrent embedding requests
- [Perf] Compiling drafter model for spec decoding
- Add error handling for input thread
- Docs
- Python not yet supported