Awesome

<picture> <source media="(prefers-color-scheme: dark)" srcset="https://files.lmstudio.ai/lms-dark.png"> <source media="(prefers-color-scheme: light)" srcset="https://files.lmstudio.ai/lms-light.png"> <img alt="lmstudio cli logo" src="https://files.lmstudio.ai/lms-light.png" width="180"> </picture> <bold><code>lms</code> - Command Line Tool for <a href="https://lmstudio.ai/">LM Studio</a></bold> Built with <bold><code><a href="https://github.com/lmstudio-ai/lmstudio.js">lmstudio.js</a></code></bold>

Installation

lms ships with LM Studio 0.2.22 and newer.

To set it up, run the built-in bootstrap command like so:

Windows:

cmd /c %USERPROFILE%/.cache/lm-studio/bin/lms.exe bootstrap

Linux/macOS:
```
~/.cache/lm-studio/bin/lms bootstrap
```

To check if the bootstrapping was successful, run the following in a 👉 new terminal window 👈:

lms

Usage

You can use lms --help to see a list of all available subcommands.

For details about each subcommand, run lms <subcommand> --help.

Here are some frequently used commands:

lms status - To check the status of LM Studio.
lms server start - To start the local API server.
lms server stop - To stop the local API server.
lms ls - To list all downloaded models.
- lms ls --detailed - To list all downloaded models with detailed information.
- lms ls --json - To list all downloaded models in machine-readable JSON format.
lms ps - To list all loaded models available for inferencing.
- lms ps --json - To list all loaded models available for inferencing in machine-readable JSON format.
lms load --gpu max - To load a model with maximum GPU acceleration
- lms load <model path> --gpu max -y - To load a model with maximum GPU acceleration without confirmation
lms unload <model identifier> - To unload a model
- lms unload --all - To unload all models
lms create - To create a new project with LM Studio SDK
lms log stream - To stream logs from LM Studio