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vLLM is a high-throughput, memory-efficient inference engine for LLMs with state-of-the-art serving capabilities. It features PagedAttention optimization, continuous batching, quantization support, and seamless Hugging Face integration. Built by a diverse community of 2000+ contributors, it powers production LLM deployments across academia and industry.
