GitHub – vllm-project/vllm: A high-throughput and memory-efficient inference and serving engine for LLMs

GPT-4: Introducing vLLM, a fast and easy-to-use library for LLM inference and serving, offering state-of-the-art serving throughput and seamless integration with popular HuggingFace models. With features like PagedAttention, dynamic batching, and optimized CUDA kernels, vLLM outperforms HuggingFace Transformers by up to 24x and Text Generation Inference by up to 3.5x. The library supports GPT-2, GPTNeoX, LLaMA, and OPT architectures, and can be easily installed via pip. Get started with vLLM to enhance your language model serving capabilities today!
Read more at GitHub…

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