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
- [Feature]: Context Parallelism
- [Usage]: Extremely slow inference with Llama 3.1 70b Instruct
- [Bug]: error while attempting to bind on address ('0.0.0.0', 8000): address already in use
- [Bug]: DeepSeek-Coder-V2-Instruct-AWQ assert self.quant_method is not None
- [Misc]: I want to run Llama 3.1 405B using speculative. Can you give me a guide?
- [Bug]: Does not work on MacOS
- [Bug]: Pipeline parallelism is only supported through AsyncLLMEngine as performance will be severely degraded otherwise.
- [RFC]: Encoder/decoder models & feature compatibility
- [Bug]: LLaMa 3.1 8B/70B/405B all behave poorly and differently using completions API as compared to good chat API
- [Bug]: Compiling FSM index high memory && subprocess OOM
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- Python not yet supported