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]: how should I do data parallelism using vLLM?
- [Bug]: torch.cuda.OutOfMemoryError: CUDA out of memory when Handle inference requests
- [Feature]: MoE kernels (Mixtral-8x22B-Instruct-v0.1) are not yet supported on CPU only ?
- [Bug]: vLLM api_server.py when using with prompt_token_ids causes error.
- [Bugfix] [Frontend] vLLM api_server.py when using with prompt_token_ids causes error.
- [Feature]: Speculative edits
- [Bug]: Different token return behaviors from vllm 0.3.0 → 0.4.3
- [Feature]: Support for Mirostat, Dynamic Temperature, and Quadratic Sampling
- [Usage]: how to terminal a vllm model and free or release gpu memory
- [Feature]: Custom attention masks
- Docs
- Python not yet supported