L La M A Pro 8 B Instruct G G U F

Introduction

LLaMA-Pro-8B-Instruct-GGUF is a quantized version of the LLaMA-Pro-8B-Instruct model, developed by Tencent ARC. It is specifically designed for programming, coding, and mathematical reasoning, while also maintaining versatility in general language tasks.

Architecture

The LLaMA-Pro-8B-Instruct model is an expansion of the LLaMA2-7B model, featuring 8.3 billion parameters. It utilizes innovative block expansion techniques to enhance its capabilities in specific domains.

Training

The model is trained on a diverse dataset encompassing over 80 billion tokens, focusing on coding and mathematical data. This extensive training contributes to its proficiency in handling complex NLP challenges.

Guide: Running Locally

1. Clone the Repository: Retrieve the model files from the Hugging Face repository.
2. Install Dependencies: Ensure all necessary libraries are installed, such as llama.cpp.
3. Load the Model: Utilize the provided scripts or code snippets to load the model into your environment.
4. Execute Inference: Run the model on your local data for tasks like programming or mathematical reasoning.

Suggested Cloud GPUs

For optimal performance, consider using cloud GPU services such as AWS, Google Cloud, or Azure.

License

The model is licensed under the llama2 license, which users must review to ensure compliance with any restrictions or obligations.