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.

Jen komunume provizata pako ne konfirmita, nek oficialigita, nek subtenata de 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.

Jen komunume provizata pako ne konfirmita, nek oficialigita, nek subtenata de Element Labs, Inc.

LM Studio

Run AI models, locally and privately