metadata

title: Llama 3.2 3B Appreciation
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: gradio
sdk_version: 5.7.1
app_file: app.py
pinned: false
license: agpl-3.0
short_description: Une intelligence artificielle pour écrire des appréciations
suggested_hardware: t4-small

Demo for `eltorio/Llama-3.2-3B-appreciation`

This is a Hugging Face Space demo application that showcases the performance of the fine-tuned model eltorio/Llama-3.2-3B-appreciation. Based on the Meta Llama 3.2 3B Instruct architecture, this model is fine-tuned to deliver high-quality automatic evaluations and appreciation generation.

🚀 Features

Intuitive Gradio Interface: Easy-to-use input fields for seamless interaction.
High-Performance Model: Built upon Llama 3.2 3B-Instruct, offering state-of-the-art generation capabilities.
Custom Fine-Tuning: Tailored for appreciation and evaluation text generation tasks.
Real-Time Outputs: Fast inference for generating quality results, powered by GPU support.

🔧 How to Use

Open the hosted Space: Demo Link.
Enter your text prompt in the input field (e.g., "Generate a positive review for a software product").
Click Submit to see the generated output from the model.

🛠️ Technical Details

Model ID: eltorio/Llama-3.2-3B-appreciation
Base Model: meta-llama/Llama-3.2-3B-Instruct
Libraries Used:
- Transformers
- PEFT
- Gradio
Dependencies:
- GPU-enabled PyTorch for fast computation.
- A valid HF_TOKEN environment variable to authenticate access to the model.

📦 Installation (Local Setup)

To run this application locally, follow these steps:

Clone this repository:

git clone https://huggingface.co/spaces/eltorio/Llama-3.2-3B-appreciation
cd Llama-3.2-3B-appreciation

Install dependencies:
```
pip install -r requirements.txt
```

Set your Hugging Face token:

export HF_TOKEN=your_huggingface_api_token

Run the application:
```
python app.py
```
Access the app at http://localhost:7860.

📜 License

This project is licensed under the AGPL-3.0 license. See the LICENSE file for details.

🌟 Acknowledgements

Special thanks to:

Meta for the Llama 3.2 architecture.
Hugging Face for providing tools to fine-tune and deploy models.
The AI community for continuous inspiration and support.

Demo for eltorio/Llama-3.2-3B-appreciation