# Installation
`lms` ships with [LM Studio](https://lmstudio.ai/) 0.2.22 and newer.
If you have trouble running the command, try running `npx lmstudio install-cli` to add it to path.
To check if the bootstrapping was successful, run the following in a **👉 new terminal window 👈**:
```shell
lms
```
# Usage
You can use `lms --help` to see a list of all available subcommands.
For details about each subcommand, run `lms --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` - To load a model
- `lms load -y` - To load a model with maximum GPU acceleration without confirmation
- `lms unload ` - 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
# Contributing
You can build the project locally by following these steps:
_Note: make sure the version of Node you have installed matches the one specified in the `engines` of the `package.json`._
```bash
git clone https://github.com/lmstudio-ai/lms.git
cd lms
npm install
npm run watch
# To test your changes and run commands:
node ./dist/index.js
```
See [CONTRIBUTING.md](CONTRIBUTING.md) for more information.
