ReDigest

lmstudio.ai
On the map Visit site

en on the LM Studio Hub

Description

Go Bionic. · Bionic is LM Studio's agent for work and code. Create documents, slides, PDFs, and software with local or frontier open models. · Agentic power.At your fingertips. · Get it done with Bionic. · Developer

LM Studio is a user-friendly desktop application that allows users to discover, download, and run large language models (LLMs) locally on their own machines. It provides an interface to access a wide range of models from Hugging Face, including LLama, Falcon, MPT, StarCoder, and more. The app supports offline LLM usage, ensuring privacy and data security.

Features

LOCAL LLM DEPLOYMENT
OFFLINE MODEL RUNNING
MULTI-MODEL SUPPORT
IN-APP CHAT UI
OPENAI API COMPATIBILITY
CROSS-PLATFORM AVAILABILITY
USER-FRIENDLY INTERFACE

Use cases

PRIVATE AI DEVELOPMENT
OFFLINE LANGUAGE PROCESSING
CUSTOM CHATBOT CREATION
AI RESEARCH
SECURE DATA ANALYSIS

FAQ

LM Studio is an intuitive desktop application that allows you to download, manage, and run large language models (LLMs) locally on your computer. It serves as both a user interface and LLM engine, integrating with Hugging Face's model repositories to provide easy access to models like Llama, Mistral, Gemma, DeepSeek, and many others. Unlike cloud-based AI services, LM Studio operates entirely on your machine, giving you complete privacy and control over your data.

Download the latest version from lmstudio.ai for your operating system (Mac, Windows, or Linux). Follow the simple installation instructions provided on the website. Once installed, launch the application to begin.

LM Studio requires sufficient computational power to run AI models locally. At minimum, you should have 16GB of RAM for optimal performance. If you have an NVIDIA GPU, you can enable GPU acceleration to significantly speed up model execution.

Navigate to the Discover tab within LM Studio and search for models by name (such as "Llama," "Mistral," or "DeepSeek"). Select your desired model and click the download button—LM Studio will automatically download and configure it for local use.

After downloading a model, click on the Chat tab and select the Load AI Model button at the top center of the screen. Choose your downloaded model from the list and wait for it to load (typically less than a minute). Once loaded, you can immediately start interacting with the model by typing prompts, asking questions, or assigning tasks.

Yes, you can switch between models at any time. LM Studio stores all your downloaded models in the My Models tab, allowing you to experiment with different models and compare their capabilities.

If you have an NVIDIA GPU, enable GPU offload in the Chat tab to accelerate processing. You can slide the GPU Offload setting to maximize the number of layers your VRAM can handle (for example, 14 layers for an NVIDIA RTX 3090).

Yes. LM Studio includes a Developer tab where you can run a local inference server. This enables you to access LM Studio through its own APIs and SDKs using TypeScript, Python, REST endpoints, and OpenAI-compatible endpoints.

All models in LM Studio support at least some degree of tool use. Models with native tool use support are marked with a hammer badge in the application and generally perform better in tool use scenarios.

LM Studio supports various model formats including .gguf and .safetensors files downloaded from Hugging Face.

Yes, LM Studio supports Model Context Protocol (MCP) connections, allowing you to connect MCP servers and expand functionality. This enables integration with various tools and services for enhanced capabilities.

Absolutely. Since LM Studio runs entirely on your local machine, all your data and interactions remain private—you're not sending anything to cloud servers. This makes it ideal for working with sensitive information.

Specs

Type Tool
SectionModels & platforms
Pricing free (от $0/mo)
Platform Desktop
Systems macos, windows, linux
Hostinglocal
Who forIndividual
Site languageen
VendorLM Studio
Rating5.00 (6 reviews)
Views2 324 426
Launched2024-09-04

Integrations

Platforms

Source code

repository

Similar in «Models & platforms»

Submit a site to the catalog

Just send the link — we will work out the rest.

We will review what you send and add it to the catalog if it fits.