VLLM is an open-source library for fast, memory-efficient large language model inference and serving. Using PagedAttention, it boosts throughput and cuts GPU costs, supporting popular models like Llama and Mistral. Developers, researchers, and companies building chatbots, APIs, or real-time AI applications benefit from easier deployment and lower latency.
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