Minimind allows you to train a 26M-parameter GPT model from scratch in just 2 hours. It is designed for those interested in artificial intelligence, particularly in large language models. Whether you're a beginner or someone looking to explore advanced AI concepts, this tool simplifies the process.

Follow these steps to download and run Minimind.

• Operating System: Windows 10 or later, macOS 10.15 or later, or Linux (any recent distribution)
• RAM: A minimum of 8 GB
• Storage: At least 1 GB of free space
• Processor: Intel i5 or equivalent

• Train a massive 26M-parameter model in under two hours.
• Simple interface designed for ease of use.
• No programming knowledge required.

To get started, visit the Releases page to download Minimind.

1. Click the link above to open the Releases page.
2. Choose the latest version of Minimind.
3. Download the appropriate installer for your operating system.
4. Once the download finishes, open the installer file.
5. Follow the prompts to install Minimind on your computer.

After installation, follow these steps to run Minimind:

1. Locate the Minimind application on your computer.
2. Double-click on the Minimind icon to open the application.
3. Follow the on-screen instructions to start training your model.

Minimind comes with a user-friendly interface. Here are some basic steps to navigate:

• Models: View available models and select one to train.
• Settings: Adjust parameters such as training time and model size.
• Data Loading: Import your datasets easily through the interface.
• Training: Start the training process with a single click.

A 26M-parameter model is a type of AI model that uses 26 million adjustable elements to parse and generate text. This size is suitable for many applications while remaining efficient.

While a standard computer meeting the system requirements can run Minimind, better performance will come from a computer with higher specifications.

Yes, Minimind allows users to load custom datasets, giving you the flexibility to tailor the model to your needs.

If you have questions or need assistance, join our community. Engage with other users through our discussion board for support. You can also check the Wiki for detailed instructions and updates.

While Minimind is user-friendly, contributions to improve the project are welcome. If you're interested in contributing, please read the contribution guidelines in the repository.

• Releases page
• Documentation
• Discussion Board

For any inquiries, feel free to reach us via the Issues tab on GitHub. We strive to respond promptly, helping you maximize your experience with Minimind.