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]: 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
- [Bug]: Logprob values are affected by sampling parameters and are incompatible with OpenAI API
- [Usage]: Regarding VLLM Structured Output Doubts
- [Bug]: Error with structured output inference after upgrade 0.6.2->0.6.3
- [Bug]: Too Many Tokens are Empty Strings and Empty Bytes, and `top_logprobs` Can't Identify End-of-Text (EOT) Tokens
- [Feature]: Alternating local-global attention layers
- [Misc]: [Question] vLLM's model loading & instance contract, 1 model per vLLM instance, or multiple models per vLLM instance
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