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
- [Usage]: Apertus --tool-call-parser value
- [Bug]: type object 'GroupShape' has no attribute '__origin__' when trying to use with torch.compile
- [Bug]: TritonAttn Backend is very slow on A770
- [New Model]: Issac 0.1
- [Core] Support openai HarmonyContext plugin
- [Bug]: NCCL OOM at 1k concurrency using default memory for DP=16 decode with EPLB and 16 redundant experts
- [Frontend] feat: Implement distributed API servers using Ray
- [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
- Docs
- Python not yet supported