LM Studio

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Product Detail

LM Studio

Application designed for experimenting with local and open-source Large Language Models (LLMs) from Hugging Face.

Added on 08-10-2023
Free

LM Studio is your go-to desktop application for seamless exploration and interaction with Large Language Models (LLMs). Designed to be user-friendly and efficient, LM Studio empowers you to discover, download, and run ggml-compatible models from Hugging Face with ease.

Key Features and Benefits:

  • User-Friendly Interface: LM Studio provides a simple yet powerful model configuration and inferencing user interface, making it accessible to both beginners and experts.
  • Cross-Platform Compatibility: Enjoy the flexibility of using LM Studio on different operating systems, ensuring a consistent experience across platforms.
  • GPU Optimization: LM Studio leverages GPU resources when available, delivering optimal performance during model execution.
  • Offline Accessibility: Run LLMs on your laptop without the need for an internet connection, ensuring complete offline accessibility.
  • In-App Chat UI: Interact with models through the in-app Chat UI for a convenient and intuitive experience.
  • Local Server Option: Set up an OpenAI compatible local server to access models as per your requirements.
  • Model Downloads: Easily download compatible model files directly from HuggingFace repositories within the application.
  • Model Variety: LM Studio supports a wide range of ggml Llama, MPT, and StarCoder models, including Llama 2, Orca, Vicuna, NousHermes, WizardCoder, and MPT from Hugging Face.
  • Powered by llama.cpp: The development of LM Studio is made possible by the llama.cpp project, ensuring reliability and performance.

Usage Terms:

LM Studio is provided for personal use under specified terms. For business use or additional information, users are encouraged to contact the LM Studio team.

With LM Studio, exploring and experimenting with Large Language Models has never been more accessible. Discover, configure, and run LLMs seamlessly, all within a user-friendly desktop application.

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