Taiwan Pro Llama 3.1 8 B

Introduction

TaiwanPro-Llama-3.1-8B is a large language model enhanced with Taiwanese Chinese data and designed to be instruction-following. It is equipped with strong academic knowledge and supports function call tools, making it suitable as an AI educator in Taiwanese environments. This model is developed by SciMaker.

Architecture

TaiwanPro-Llama-3.1-8B is based on the Llama-3.1-8B architecture, which has been enhanced with specific data to improve performance in Taiwanese contexts. It offers advanced capabilities in understanding and generating Chinese text, with a focus on educational applications.

Training

The model has been trained using a specialized dataset that incorporates Taiwanese Chinese language data. This training approach aims to enhance the model's abilities in understanding and generating Taiwanese Chinese, making it more effective for use in educational and conversational scenarios.

Guide: Running Locally

1. Registration: Register with the SciMaker community by filling out the necessary forms and obtain a Hugging Face account.
2. Download: Apply for download access using your registered Hugging Face account email.
3. Setup: Ensure you have the necessary software dependencies installed, such as Python and any required libraries.
4. Run the Model: Load the model locally using a framework like PyTorch or TensorFlow.

For better performance, especially with larger models like TaiwanPro-Llama-3.1-8B, consider using cloud GPUs such as those offered by AWS, Google Cloud, or Azure.

License

The downloaded files are authorized for personal or educational use only. Users must register and be approved to access the model, ensuring compliance with the intended use policy.