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 32.4K GitHub stars and 4.9K 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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