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vLLM

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 31.2K GitHub stars and 4.7K 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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vLLM's Followers
4 developers follow vLLM to keep up with related blogs and decisions.