🚀 New in 0.3.8: DeepSeek R1 Support, Thinking UI, and LaTeX improvements! With LM Studio, you can ... LM Studio supports any GGUF Llama, Mistral, Phi, Gemma, StarCoder, etc model on Hugging Face. Minimum requirements: M1/M2/M3/M4 Mac, or a Windows / Linux PC with a processor that supports AVX2. Made possible thanks to the llama.cpp project.

Discover, download, and run local LLMs with LM Studio for Mac, Linux, or Windows

2024年10月23日 · It makes larger, more complex models accessible across the entire lineup of PCs powered by GeForce RTX and NVIDIA RTX GPUs. Download LM Studio to try GPU offloading on larger models, or experiment with a variety of RTX-accelerated LLMs running locally on RTX AI PCs and workstations.

You can serve local LLMs from LM Studio's Developer tab, either on localhost or on the network. LM Studio's APIs can be used through an OpenAI compatibility mode, ehanced REST API, or through a client library like lmstudio.js.

2024年6月14日 · By combining LM Studio and Anything LLM, you can create a powerful, fully private, local LLM setup capable of handling a wide variety of tasks. This guide has walked you through the basic setup and configuration, but the possibilities are endless.

2024年8月26日 · In this article, we'll guide you through the process of using LM Studio to run any LLM on your local windows machine, providing you with greater control, privacy, and customization in your AI-driven projects.

2023年12月22日 · How to use LM Studio 1. Download and Install: Visit the LM Studio website (https://lmstudio.ai/) and download the installer for your operating system (Windows, macOS, or Linux).

2024年7月23日 · Discover how to run large language models (LLMs) on your PC using LM Studio! Learn the setup process, potential challenges, and more.

2023年10月25日 · LM Studio is an open-source, free, desktop software tool that makes installing and using open-source LLM models extremely easy. Here’s how to use it: 1. Go to “lmstudio.ai”: 2. Download and...

LM Studio is a comprehensive desktop application designed for discovering, downloading, and running large language models offline. This powerful tool supports many models, including Llama, Mistral, Phi, and Gemma, making advanced AI capabilities accessible while keeping sensitive data secure within your infrastructure.