orca_mini_v9_0_3 B Instruct

Introduction

ORCA_MINI_V9_0_3B-INSTRUCT is a text generation model based on the Llama-3.2 architecture, designed to provide a general-purpose AI assistant. It is developed to be highly customizable for various applications, encouraging users to adapt and enhance the model according to their specific needs.

Architecture

The model utilizes the Llama-3.2 architecture with a 3 billion parameter structure (3B). It is trained using datasets including pankajmathur/orca_mini_v1_dataset and pankajmathur/orca_mini_v8_sharegpt_format, and it operates within the Transformers library.

Training

The training process involves a combination of human-generated and synthetic data to ensure the model's safety and effectiveness. It includes safety fine-tuning to mitigate potential risks and enhance robustness. The model is trained to handle various prompts and maintain a helpful and safe interaction tone.

Guide: Running Locally

Basic Steps

1. Install Dependencies: Ensure you have Python and PyTorch installed. Install the Transformers library with pip install transformers.

2. Set Up Environment: Use the provided code examples to set up a text-generation pipeline in your Python environment.

3. Choose Quantization: You can run the model in default half precision, 4-bit, or 8-bit formats using the BitsAndBytesConfig if memory efficiency is a concern.

4. Run the Model: Use the code snippets provided to initialize the model and generate responses to user inputs.

Cloud GPUs

For better performance, consider using cloud GPUs from providers like AWS, Google Cloud, or Azure to run more demanding computations.

License

The model is released under the llama3.2 license, allowing for use with proper credit and attribution. Users are encouraged to customize and improve the model, adhering to the licensing terms.