The easiest way to run an open model on your own machine: one command downloads and starts it, plus a local REST API and libraries for Python and JavaScript.
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Open models & inferencevllm-project
vllm
An engine for fast model serving on GPUs: frugal with memory and handles many requests at once. The default pick when a model has to run as a service.
Who it is for
For engineers deploying a model for many users.
How to start
- Install:
uv pip install vllm. - Open the docs at docs.vllm.ai, installation section.
- Serve a model following the examples there and call it through the API.
Steps are taken from the README. Check the current version in the repository before running them.
Stars over the last 30 days
+2,354Sep 6 — Oct 6
Author's description
A high-throughput and memory-efficient inference and serving engine for LLMs
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