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Introducing `lms` - LM Studio's companion cli tool May 2, 2024 By LM Studio Team Today, alongside LM Studio 0.2.22, we're releasing the first version of lms — LM Studio's companion cli tool. With lms you can load/unload models, start/stop the API server, and inspect raw LLM input (not just output). It's developed on github and we're welcoming issues and PRs from the community. lms ships with LM Studio and lives in LM Studio's working directory, under ~/.cache/lm-studio/bin/. When you update LM Studio, it also updates your lms version. If you're a developer, you can also build lms from source. Bootstrap lms on your system​ You need to run LM Studio at least once before you can use lms. Afterwards, open your terminal and run one of these commands, depending on your operating system: # Mac / Linux: ~/.cache/lm-studio/bin/lms bootstrap # Windows: cmd /c %USERPROFILE%/.cache/lm-studio/bin/lms.exe bootstrap Afterwards, open a new terminal window and run lms. This is the current output you will get: $ lms __ __ ___ ______ ___ _______ ____ / / / |/ / / __/ /___ _____/ (_)__ / ___/ / / _/ / /__/ /|_/ / _\ \/ __/ // / _ / / _ \ / /__/ /___/ / /____/_/ /_/ /___/\__/\_,_/\_,_/_/\___/ \___/____/___/ lms - LM Studio CLI - v0.2.22 GitHub: https://github.com/lmstudio-ai/lmstudio-cli Usage lms <subcommand> where <subcommand> can be one of: - status - Prints the status of LM Studio - server - Commands for managing the local server - ls - List all downloaded models - ps - List all loaded models - load - Load a model - unload - Unload a model - create - Create a new project with scaffolding - log - Log operations. Currently only supports streaming logs from LM Studio via `lms log stream` - version - Prints the version of the CLI - bootstrap - Bootstrap the CLI For more help, try running `lms <subcommand> --help` lms is MIT Licensed and it is developed in this repository on GitHub: https://github.com/lmstudio-ai/lms Use lms to automate and debug your workflows​ Start and stop the local server​ lms server start lms server stop List the local models on the machine​ lms ls This will reflect the current LM Studio models directory, which you set in 📂 My Models tab in the app. List the currently loaded models​ lms ps Load a model (with options)​ lms load [--gpu=max|auto|0.0-1.0] [--context-length=1-N] --gpu=1.0 means 'attempt to offload 100% of the computation to the GPU'. Optionally, assign an identifier to your local LLM: lms load TheBloke/phi-2-GGUF --identifier="gpt-4-turbo" This is useful if you want to keep the model identifier consistent. Unload models​ lms unload [--all] Debug your prompting with lms log stream​ lms log stream allows you to inspect the exact input string that goes to the model. This is particularly useful for debugging prompt template issues and other unexpected LLM behaviors. $ lms log stream I Streaming logs from LM Studio timestamp: 5/2/2024, 9:49:47 PM type: llm.prediction.input modelIdentifier: TheBloke/TinyLlama-1.1B-1T-OpenOrca-GGUF/tinyllama-1.1b-1t-openorca.Q2_K.gguf modelPath: TheBloke/TinyLlama-1.1B-1T-OpenOrca-GGUF/tinyllama-1.1b-1t-openorca.Q2_K.gguf input: "Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: Hello, what's your name? ### Response: " lmstudio.js​ lms uses lmstudio.js to interact with LM Studio. You can build your own programs that can do what lms does and much more. lmstudio.js is in pre-release public alpha. Follow along on GitHub: https://github.com/lmstudio-ai/lmstudio.js. Discuss all things lms and lmstudio.js in the new #dev-chat channel on the LM Studio Discord Server. Download LM Studio for Mac / Windows / Linux from https://lmstudio.ai. LM Studio 0.2.22 AMD ROCm - Technology Preview is available in https://lmstudio.ai/rocm LM Studio on Twitter: https://twitter.com/LMStudioAI Older Post Use Llama 3 in LM Studio Docs Docs Community Discord Twitter More Download LM Studio Copyright © 2024 LM Studio

DraftMost Drafts’ Shortcut actions return a Draft object, or in the case of query actions, arrays of Draft objects. Each of these objects contains the the following values about the draft:**Draft**: The primary identifier for the draft. This can be used in subsequent Shortcut actions to identify the draft.**UUID** *string*: The UUID of the draft.**Content** *string*: The full text of the draft.**Link** *string*: A permalink to the draft, using the drafts://open URL action.**Title** *string*: The first line of the draft.**Tags** *array of strings*: Tags assigned to the draft.**Flagged** *boolean*: Flagged status of the draft.**Folder**: Folder the draft is currently located in. Possible values: Inbox, Archive or Trash.**Syntax Definition**: Syntax highlighting mode assigned to the draft.**Creation Date** *date*: Timestamp of draft creation.**Creation Location** *location*: Location the draft was created.**Modification Date** *date*: Timestamp of draft’s last modification.**Modification Location** *location*: Location the draft was last modified.Workspace**Workspace**: The primary identifier for the workspace. This can be used in subsequent Shortcut actions to identify the workspace.**Name**: The name assigned to the workspace.⠀Action**Action**: The primary identifier for the action. This can be used in subsequent Shortcut actions to identify the action.**Name**: The name assigned to the action.