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
- [Performance]: speed regression 0.6.2 => 0.6.3?
- [Feature]: LoRA support for InternVLChatModel
- [Feature]: Allow setting tool_choice="none" in LLM calls if the OpenAI comaptible vllm server is started with --enable-auto-tool-choice
- [Bug]: aborting streaming and non-streaming request does not abort vllm request
- [Bug]: guided_grammer fails only on Mixtral models
- [Feature]: Support for quantized models for tensorized model weights
- [Bug]: Could we provide an interface for setting the "dtype" when calling the example/benchmarks python?
- [Bug]: vllm startup model error /proc file not found
- [Misc]: offline inference inconsistency result of qwen2-7b
- [Feature]: Consider parallel_tool_calls parameter at the API level
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