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]: CUDA device detection issue with KubeRay distributed inference for quantized models
- [Misc]: Memory Order in Custom Allreduce
- [Bug]: The accuracy of vllm-Qwen2-VL-7B-Instruct is low.
- [Bug]: Obvious hang caused by Custom All Reduce OP(Valuable Debug Info Obtained)
- [Bug]: use speculative model in vllm error: TypeError: Worker.__init__() got an unexpected keyword argument 'num_speculative_tokens'
- [Misc]: What is the relationship between max-num-seqs, max-num-batched-tokens and max-model-len?
- [Misc]: Can vLLM go out of memory during the decode phase if too many tokens are generated?
- [Bug]: OOM when running llama3.1-8B-Instruct
- Multi-Step + Chunked Prefill with Single Step Prefills
- [torch.compile] A simple solution to recursively compile loaded model: using phi3-small as an example
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- Python not yet supported