vLLM is a fast and easy-to-use library for LLM inference and serving. High-throughput serving with various decoding algorithms, including parallel sampling, beam search, and more.

Features

  • State-of-the-art serving throughput
  • Efficient management of attention key and value memory with PagedAttention
  • Continuous batching of incoming requests
  • Optimized CUDA kernels
  • Seamless integration with popular HuggingFace models
  • Tensor parallelism support for distributed inference

Project Samples

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Large Language Models (LLM), Python LLM Inference Tool

Registered

2023-08-21