Welcome to BitNet, the official inference framework for 1-bit language models (LLMs). This guide will help you download and run the BitNet software easily.

Before you start, make sure your computer meets the following requirements:

• Operating System: Windows 10 or later, macOS, or a recent Linux distribution
• RAM: At least 4 GB recommended
• Storage: Minimum 200 MB of free space

• Fast Processing: Quickly run 1-bit LLMs for high-performance applications.
• User-Friendly Interface: Simple layout that lets you focus on results.
• Cross-Platform Support: Use it on major operating systems without hassle.
• Open Source: Contribute to the ongoing development and improvement of BitNet.

To get started with BitNet, go to the Releases page. Here’s how you can download and install BitNet:

1. Click on the link: Releases page.
2. You will see a list of available versions. Look for the latest release, which is marked as stable.
3. Download the setup file suitable for your operating system:
   • For Windows, download the .exe file.
   • For macOS, download the .dmg file.
   • For Linux, download the appropriate archive file.
4. Once the download is complete, locate the downloaded file on your computer and open it.
5. Follow the installation instructions that appear on the screen.

After installation, you can run BitNet easily:

1. Locate the BitNet icon on your desktop or in your applications folder.
2. Double-click the icon to launch the application.
3. Follow the on-screen prompts to start using BitNet with your desired 1-bit LLM.

BitNet includes a user guide to help you navigate through its features. You can find the guide within the application or download it from the Releases page.

If you encounter any issues, consider these steps:

• Ensure your computer meets the system requirements.
• Restart your computer and try running BitNet again.
• Consult the user guide for common problems and solutions.
• If problems persist, check the issue tracker on the GitHub repository for support.

Join our community to share your experiences or ask for help:

• GitHub Discussions
• Community Forum

We are continuously working to improve BitNet. Keep an eye on the Releases page for the latest features, bug fixes, and enhancements.

Make sure to try out BitNet and explore the simplicity and performance it offers for your LLM applications!