Context Faithful L La M A 3 8b instruct

Introduction

The Context-Faithful-LLaMA-3-8b-Instruct is a model hosted on Hugging Face, developed by Bibaolong. Specific details about its development, funding, language, and licensing are not provided in the available documentation.

Architecture

The architecture details, including the model's specific design and objectives, are not explicitly mentioned. The model appears to be part of the PEFT library and is likely related to the LLaMA series.

Training

Training Data

Information about the training data used for this model is not provided.

Training Procedure

The document does not specify preprocessing steps, training hyperparameters, or the training regime. Details regarding speeds, sizes, and training times are also absent.

Guide: Running Locally

To run the Context-Faithful-LLaMA-3-8b-Instruct model locally, follow these general steps:

1. Install Required Libraries: Ensure you have the PEFT library installed. Use pip install peft to get the latest version.
2. Download the Model: Access and download the model files from Hugging Face.
3. Load the Model: Use the provided code snippets in the model documentation to load and initialize the model in your environment.
4. Run the Model: Execute the model on your tasks, ensuring your local environment meets its compute requirements.

For optimal performance, consider using a cloud GPU service such as AWS, Google Cloud, or Azure. These platforms provide powerful GPUs that can handle large models efficiently.

License

The license information for this model is not specified in the documentation provided. Users should verify the licensing terms before using the model in any projects.