vllm

vLLM is a high-performance, memory-efficient large language model (LLM) inference and serving engine. It addresses the high cost and low efficiency issues when handling large-scale language models by optimizing attention mechanisms, quantization techniques, and parallel computing, significantly improving inference speed and resource utilization. Users can get started quickly with simple installation commands and support multiple hardware platforms. vLLM is designed for developers, researchers, and enterprise users.