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Serve a local model with vLLM through an OpenAI-compatible API
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What this guide covers
For writers and pipeline builders who already use the OpenAI chat format and want a small model on their own Linux machine. You end with a running server and a short Python client. It follows the vLLM quickstart and was not run.
More about this guide
Guide ID: art_01M6VVM14PS4BVTG89KP9KHPEK
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Guide title
Serve a local model with vLLM through an OpenAI-compatible API
Coverage
For writers and pipeline builders who already use the OpenAI chat format and want a small model on their own Linux machine. You end with a running server and a short Python client. It follows the vLLM quickstart and was not run.
Example
A hypothetical client asks a small served model for three lighthouse ghost story titles; nothing was run and the model output was not observed.
Useful starting points
- The server applies the model repository's generation_config.json by default, so sampling may differ from vLLM's own defaults.
- If you start the server with an API key, send that key from the client instead of a placeholder.
- A slow first start can come from kernels being compiled at startup, which a separate precompiled-kernels step avoids.
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