lmstudio-ai/lms(新しいタブで開きます)
主要言語: TypeScript
LM Studio CLI
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- 最終更新
- 2026/10/15
主要言語: TypeScript
LM Studio CLI
lms - Command Line Tool for LM Studio
Built with lmstudio.js
lms ships with LM Studio 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 👈:
lms
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 --json - To list all downloaded models in machine-readable JSON format.lms ls --decision - To list only downloaded decision models.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 <model path> -y - To load a model with maximum GPU acceleration without confirmationlms unload <model identifier> - To unload a model
lms unload --all - To unload all modelslms create - To create a new project with LM Studio SDKlms log stream - To stream logs from LM Studiolms prefers a running LM Studio or llmster over Bionic. It connects to Bionic when Bionic is the
only running app, without starting another backend. When none are running, it tries valid recorded
installations in this order: llmster, LM Studio, Bionic. Missing or stale installations are skipped.
Discovery, CLI authentication, and REST server settings all come from the selected app. Bionic uses
~/.lmstudio/apps/bionic/.internal; LM Studio and llmster retain ~/.lmstudio/.internal (under your
configured LM Studio home). Shared model and runtime storage is unchanged.
lms status, lms server status, and lms server stop do not start an app. In development,
LMS_API_SERVER_INFO_PATH selects one exact instance and never falls back to another app or starts
one if that instance is unavailable.
The CLI is part of the lmstudio.js monorepo and cannot be built standalone.
# Clone and build the entire monorepo git clone https://github.com/lmstudio-ai/lmstudio-js.git --recursive cd lmstudio-js npm install npm run build # Test your CLI changes node publish/cli/dist/index.js <subcommand>
Example:
node publish/cli/dist/index.js --help node publish/cli/dist/index.js status
See CONTRIBUTING.md for more information.