GraphAgent-8B

Introduction

GraphAgent-8B is a machine learning model available on Hugging Face, designed for advanced computational tasks. It is distributed under the MIT License, allowing for broad use and modification.

Architecture

GraphAgent-8B is implemented using the Safetensors library and the LLaMA model framework. This architecture ensures efficient handling of large-scale data and complex graph computations.

Training

Details about the specific training parameters or datasets used for GraphAgent-8B are not provided in the README. Users are encouraged to refer to the community discussions for insights and information shared by other developers.

Guide: Running Locally

To run GraphAgent-8B locally, follow these basic steps:

1. Clone the repository: git clone https://huggingface.co/GraphAgent/GraphAgent-8B
2. Navigate to the directory: cd GraphAgent-8B
3. Install dependencies: Ensure you have the necessary libraries installed, possibly including PyTorch and Transformers.
4. Run the model: Use a Python script or Jupyter notebook to load and execute the model.

For optimal performance, consider using cloud GPUs, such as those offered by AWS, Google Cloud, or Azure, to handle the computational load.

License

GraphAgent-8B is released under the MIT License. This license permits use, modification, and distribution of the software, provided that the original license is included with any substantial portions of the software.