Spaces:
Sleeping
Sleeping
| 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 |