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]: Model serving failed with these arguments --tensor-parallel-size 2 --pipeline-parallel-size 2
- [Bug]: Unable to generate text tokens when add_eos_token = true for Mistral 7B instruct v0.1
- add causal parameter for flash attention
- [Model]: Does vllm currently support the Llama-3.1-405B-Instruct multimodal ?
- [Performance]: How to measure and understand the performance benefit of prefix caching
- [Frontend] Using sync llm engine in a separate process in openai server mode
- [Usage]: Can the embedding model be deployed using the openai interface?
- [Bug]: error while attempting to bind on address ('0.0.0.0', 8000): address already in use
- [Hardware][CPU] Support AWQ for CPU backend
- [Bug]: AutoAWQ marlin methods error
- Docs
- Python not yet supported