---
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