vLLM
What is vLLM?
vLLM is a fast and easy-to-use library for LLM (Large Language Model) inference. It leverages Paged Attention to manage attention keys and values more efficiently, especially when dealing with long sequences or high concurrency. This significantly increases throughput and reduces memory usage compared to traditional inference methods. It's commonly used for serving LLMs in production environments, research, and applications requiring real-time or high-throughput generation.
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