Orca Agent llama3.2 8b G G U F

Introduction

The ORCAAGENT-LLAMA3.2-8B-GGUF is a quantized version of the Isotonic/OrcaAgent-llama3.2-8b model, created using llama.cpp. It is designed for text generation inference and is part of the GGUF library.

Architecture

The model is based on the Meta-Llama architecture, specifically the Meta-Llama-3-8B-Instruct variant. This base model is optimized for natural language processing tasks, particularly in English.

Training

The model utilizes datasets such as microsoft/orca-agentinstruct-1M-v1 and Isotonic/agentinstruct-1Mv1-combined. Detailed information on training procedures, hyperparameters, and evaluation metrics is not provided.

Guide: Running Locally

1. Setup Environment: Ensure you have Python and necessary libraries installed.
2. Download Model: Access the model files from the Hugging Face repository.
3. Install Dependencies: Use pip to install required Python packages.
4. Run Inference: Execute the script to perform text generation tasks.
5. Cloud GPUs: For enhanced performance, consider using cloud GPU services like AWS, GCP, or Azure.

License

The model is licensed under the Apache-2.0 license, allowing for broad usage and modification.