vllm and ZhiLight
vLLM is a general-purpose inference engine supporting diverse model architectures, while ZhiLight is a specialized acceleration layer optimized specifically for Llama variants, making them complements that can work together where ZhiLight provides Llama-specific optimizations on top of or alongside vLLM's broader serving infrastructure.
About vllm
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
This project helps machine learning engineers and developers efficiently deploy and serve large language models (LLMs) in production environments. You provide your chosen LLM and receive a high-throughput, memory-optimized inference service ready for use. It's designed for ML engineers, MLOps specialists, and developers who need to integrate LLM capabilities into applications without sacrificing speed or cost efficiency.
About ZhiLight
zhihu/ZhiLight
A highly optimized LLM inference acceleration engine for Llama and its variants.
ZhiLight is a specialized engine designed to speed up the process of generating text from large language models (LLMs) like Llama and its variants. It takes your trained LLM and, by optimizing how the model runs on NVIDIA GPUs, delivers faster responses and more outputs per second. This tool is for AI engineers or machine learning operations specialists who deploy and manage LLMs in production.
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