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A newer version of the Streamlit SDK is available: 1.43.2

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metadata
title: llamalogic
emoji: 🌍
colorFrom: red
colorTo: yellow
sdk: streamlit
sdk_version: 1.38.0
app_file: app.py
pinned: false

GPTo1: Llama-3.1 70b on Groq for o1-like Reasoning Chains

This Hugging Face Space demonstrates the use of Llama-3.1 70b on Groq to create o1-like reasoning chains, aiming to improve output accuracy in AI-generated responses.

How to Use This Space

  1. Duplicate this space as a private space:

    • Click on the "Duplicate this Space" button at the top right of the page.
    • Choose a name for your duplicated space.
    • Important: Set the visibility to "Private" to ensure the security of your API key. This is crucial because you'll be entering your API key in the interface.
    • Click "Duplicate Space".

    Note: Setting the space to private is essential for protecting your Groq API key. In a public space, there's a risk of exposing your API key to others.

  2. Set up your Groq API key:

    • Once you've duplicated the space, go to the "App" tab.
    • You'll see a text input field where you can enter your Groq API key.
    • Enter your API key and click the "Submit API Key" button.

  3. Use the app:

    • After submitting your API key, you should see the interface where you can enter queries and get responses.

Note on API Key Security

  • Never share your Groq API key or make it public.
  • If you accidentally expose your API key, regenerate a new one immediately from your Groq account.
  • Make sure to keep your API key confidential. Each person should use their own Groq API key when using this space.

About This Project

This Hugging Face Space is a collaborative project worked on with Alisher Farhadi (https://github.com/afarhadi99), based on the g1 project created by bklieger-groq. The original GitHub repository can be found at https://github.com/bklieger-groq/g1. We have adapted it for use as a Hugging Face Space and potentially added some additional features.

Features

  • Uses Llama-3.1 70b model via Groq API
  • Implements o1-like reasoning chains for improved accuracy
  • Provides step-by-step explanations of the reasoning process

Limitations

  • This is an early prototype and accuracy has not been formally evaluated.
  • Performance may vary depending on the complexity of the query.

Contributing

If you'd like to contribute to this project, please consider contributing to the original GitHub repository. You can submit pull requests or open issues there.

License

This project is open source and available under the license specified in the original GitHub repository. Please refer to the repository for the most up-to-date license information.

Acknowledgments

  • Special thanks to bklieger-groq for creating the original g1 project that serves as the foundation for this Hugging Face Space.
  • This Hugging Face adaptation is a collaborative effort with Alisher Farhadi (https://github.com/afarhadi99).
  • Powered by Groq for fast reasoning steps.

Configuration Reference

For more information about the Hugging Face Spaces configuration, please refer to: https://huggingface.co/docs/hub/spaces-config-reference