LM Studio

What is LM Studio?

LM Studio is a user-friendly desktop application designed for experimenting with local and open-source Large Language Models (LLMs). It allows users to discover, download, and run any ggml-compatible model from Hugging Face. One notable feature of LM Studio is its cross-platform compatibility, enabling users to run the application on different operating systems. Additionally, it optimizes performance by taking advantage of the GPU when available, ensuring complete offline accessibility for users to run LLMs on their laptops without an internet connection. Users can interact with the models through in-app Chat UI or by setting up an OpenAI compatible local server. LM Studio also offers a streamlined interface for discovering new and noteworthy LLMs, enhancing the user experience.

Who created LM Studio?

LM Studio was created by an expanding team. It is a user-friendly desktop application designed for experimenting with local and open-source Large Language Models (LLMs). Launched on May 24, 2023, the company details are outlined on their career page .

What is LM Studio used for?

• Experimenting with local and open-source Large Language Models (LLMs)
• Discovering, downloading, and running ggml-compatible models from Hugging Face
• Providing a user-friendly model configuration and inferencing user interface
• Supporting cross-platform compatibility
• Enabling offline access to run LLMs on laptops
• Utilizing models through an in-app Chat UI or setting up an OpenAI compatible local server
• Downloading compatible model files from HuggingFace repositories within the application
• Offering a streamlined interface for discovering new and noteworthy LLMs
• Supporting a wide range of ggml Llama, MPT, and StarCoder models
• Taking advantage of GPU for optimized performance during model execution

Who is LM Studio for?

• Software developers
• Data scientists
• Researchers

How to use LM Studio?

LM Studio is a versatile desktop application for interacting with local and open-source Large Language Models (LLMs). Here's a step-by-step guide on how to use the tool:

1. Minimum Requirements: Ensure you have an M1/M2/M3 Mac, a Windows PC with AVX2-supported processor, or use the Linux beta version.

2. Installation: Download and install LM Studio on your preferred operating system.

3. Model Selection: Discover, download, and run any ggml-compatible model from Hugging Face via the app.

4. User Interface: Utilize the simple and powerful model configuration and inferencing user interface for easy exploration of LLMs.

5. Cross-Platform Compatibility: Benefit from LM Studio's cross-platform support to run the application on various operating systems.

6. Offline Access: Run LLMs offline on your laptop without an internet connection, leveraging the in-app Chat UI or setting up an OpenAI compatible local server.

7. Model Repository: Download compatible model files seamlessly from Hugging Face repositories within LM Studio.

8. Model Support: Access a wide range of ggml Llama, MPT, and StarCoder models like Llama 2, Orca, Vicuna, NousHermes, and more.

9. Performance Optimization: GPU utilization for optimized model execution performance.

10. Advanced Features: Explore new and noteworthy LLMs conveniently through the application's interface.

Remember to consult the Technical Documentation at lmstudio.ai/docs for further guidance. Enjoy experimenting with LLMs and enhancing your natural language processing capabilities using LM Studio.