Name: LM Studio
Author: Element Labs, Inc.

Run AI models, locally and privately

LM Studio is a desktop app for running large language models (LLMs) locally on your own computer.

features

Run Local LLMs Offline — Execute open-weight models entirely on your own device without cloud dependency.
Cross-Platform Support — Available on Windows, macOS, and Linux.
Model Discovery & Download — Browse and download GGUF/MLX models directly from Hugging Face.
Built-in Chat Interface — Interact with local models through a clean ChatGPT-like UI.
OpenAI-Compatible API Server — Serve local models via OpenAI-style REST endpoints for app integration.
Document Chat (RAG) — Chat with local documents privately and offline.
Model Management — Organize models, prompts, presets, and configurations in one place.
Developer Tooling — Includes CLI, Python SDK, TypeScript SDK, and REST
Headless Mode — Run LM Studio without GUI for servers or CI environments.
MCP Integration — Connect MCP servers and external AI workflows.
Privacy-First Design — Prompts and conversations stay on the local machine.
Hardware-Aware Optimization — GPU offloading and memory controls for better performance on limited hardware.
Multi-Model Support — Supports Llama, Qwen, Mistral, Gemma, Phi, DeepSeek, and more.
Local Network Serving — Expose local models across devices on the same network.

This community-provided package is not verified by, affiliated with, or supported by Element Labs, Inc.

Run AI models, locally and privately

LM Studio is a desktop app for running large language models (LLMs) locally on your own computer.

features

Run Local LLMs Offline — Execute open-weight models entirely on your own device without cloud dependency.
Cross-Platform Support — Available on Windows, macOS, and Linux.
Model Discovery & Download — Browse and download GGUF/MLX models directly from Hugging Face.
Built-in Chat Interface — Interact with local models through a clean ChatGPT-like UI.
OpenAI-Compatible API Server — Serve local models via OpenAI-style REST endpoints for app integration.
Document Chat (RAG) — Chat with local documents privately and offline.
Model Management — Organize models, prompts, presets, and configurations in one place.
Developer Tooling — Includes CLI, Python SDK, TypeScript SDK, and REST
Headless Mode — Run LM Studio without GUI for servers or CI environments.
MCP Integration — Connect MCP servers and external AI workflows.
Privacy-First Design — Prompts and conversations stay on the local machine.
Hardware-Aware Optimization — GPU offloading and memory controls for better performance on limited hardware.
Multi-Model Support — Supports Llama, Qwen, Mistral, Gemma, Phi, DeepSeek, and more.
Local Network Serving — Expose local models across devices on the same network.

This community-provided package is not verified by, affiliated with, or supported by Element Labs, Inc.

LM Studio

Run AI models, locally and privately