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
- [RFC]: Encoder/decoder models & feature compatibility
- [Bug]: Tensor Parallel > 1 causes desc_act=True GPTQ models to give bad output on ROCm
- [Bug]: prefill/prefix FP8 triton kernel for opt-125m - an illegal memory access was encountered
- [Bug]: Successfully deployed embedding model 'gte-Qwen2-7B-instruct', but got "TypeError: 'async for' requires an object with __aiter__ method, got coroutine" when calling it
- [Bug]: guided regex (using outlines and lm format enforcer) return bad error description on invalid regex
- [Bug]: LLaMa 3.1 8B/70B/405B all behave poorly and differently using completions API as compared to good chat API
- [Bug][0.5.4] Front-end server errors when overloaded with pending requests
- [Usage]: Can we get count for current processing tokens from openai api?
- [Bug]: Endless generation with fine tuned llama 3.1 model
- [Bug]: Compiling FSM index high memory && subprocess OOM
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