About vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
<!-- markdownlint-disable MD001 MD041 --> <p align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/vllm-project/vllm/main/docs/assets/logos/vllm-logo-text-dark.png"> <img alt="vLLM" src="https://raw.githubusercontent.com/vllm-project/vllm/main/docs/assets/logos/vllm-logo-text-light.png" width=55%> </picture> </p> <h3 align="center"> Easy, fast, and cheap LLM serving for everyone </h3> <p align="center"> | <a href="https://docs.vllm.ai"><b>Documentation</b></a> | <a href="https://blog.vllm.ai/"><b>Blog</b></a> | <a href="https://arxiv.org/abs/2309.06180"><b>Paper</b></a> | <a href="https://x.com/vllm_project"><b>Twitter/X</b></a> | <a href="https://discuss.vllm.ai"><b>User Forum</b></a> | <a href="https://slack.vllm.ai
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No rules target vllm yet
No published rules, MCP servers, or skills target vllm yet. If you maintain a tool that works well with this project, you can publish for free during beta.
Why this page exists
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