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A high-throughput and memory-efficient inference and serving engine for LLMs
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What is vLLM?

It is an open-source library for fast LLM inference and serving. It delivers up to 24x higher throughput than HuggingFace Transformers, without requiring any model architecture changes.
vLLM is a tool in the Large Language Models category of a tech stack.
vLLM is an open source tool with 21.2K GitHub stars and 3K GitHub forks. Here’s a link to vLLM's open source repository on GitHub

Who uses vLLM?

vLLM Integrations

Python, Linux, CUDA, Hugging Face, and LLaMA are some of the popular tools that integrate with vLLM. Here's a list of all 13 tools that integrate with vLLM.

vLLM's Features

  • State-of-the-art serving throughput
  • Seamless integration with popular HuggingFace models
  • Continuous batching of incoming requests
  • Optimized CUDA kernels

vLLM Alternatives & Comparisons

What are some alternatives to vLLM?
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Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
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vLLM's Followers
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