Local AI toolkit for running open-source LLMs like Llama, DeepSeek, and Phi on your computer with no data collection.
EngineeringResearch & Intelligence
LLMChatbotCoding
Visit WebsiteFree to download and use. Enterprise options available through "LM Studio @ Work" request form.
Quick Info
Integrations
REST API, Python, JavaScript/TypeScript
Deployment
On Premise, Desktop App
Expertise Level
Beginner, Intermediate, Advanced
LM Studio lets you run powerful language models on your own hardware. It works offline. Your data stays on your machine. You download models from a catalog, chat with them, or set up a local server to power your apps. It supports document chat through RAG and offers SDKs for Python and JavaScript developers.
Key Features
Run LLMs Locally
Run large language models directly on your laptop or PC without sending data to external servers.
Model Discovery
Browse and download open-source models from Hugging Face in GGUF format (all platforms) and MLX format (Mac only).
Local LLM Server
Set up a local server with an OpenAI-compatible API to power your applications with local AI.
Document Chat
Chat with your local files using Retrieval Augmented Generation (RAG) for private document analysis.
Tool Use
Enable models to request function calls to external tools and APIs through the chat completions endpoint.
Use Cases
Private AI Development
Build AI applications with complete data privacy, keeping sensitive information on your local machine.
Local LLM Experimentation
Test different models, parameters, and prompts without cloud costs or API rate limits.
Document Analysis
Process and query documents locally without uploading them to external services.
Function-calling Applications
Create applications that use LLMs to call external functions and APIs based on user input.
Screenshots
Getting Started
1
Download LM Studio for your operating system (Windows, Mac, or Linux)
2
Install the application
3
Use the interface to discover and download models
4
Load a model to begin chatting or start the local server
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