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Frameworks that reduce model size and computational requirements by converting high-precision weights into lower-precision formats.
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vLLM is a high-throughput inference engine designed for the efficient serving and execution of large language models. It functions as a production-ready distributed model server, providing standard API protocols for online serving while also supporting offline batch processing. The system is built to maximize token gen