Beepo-22B Model Documentation

Introduction

Beepo-22B is a fine-tuned version of the Mistral-Small-Instruct-2409 model, designed to enhance instruct capabilities while reducing censorship. The model retains its intelligence through careful tuning and dataset pruning.

Architecture

Beepo-22B is built upon the Mistral-Small-Instruct-2409 base model. The architecture has been fine-tuned to support the Alpaca instruct prompt format, and includes improvements for decensoring, ensuring compliance with user instructions without the need for complex workarounds.

Training

The model was fine-tuned with a low learning rate and a heavily pruned dataset. This approach was taken to maintain the original model's intelligence and capabilities while enhancing its instruction-following abilities.

Guide: Running Locally

To run Beepo-22B locally, follow these general steps:

1. Clone the Repository: Download the model files from Beepo-22B on Hugging Face.
2. Set Up Environment: Ensure you have the required dependencies and environment set up, typically involving Python and relevant libraries such as transformers.
3. Load the Model: Use the Hugging Face transformers library to load and interact with the model.
4. Utilize Cloud GPUs: For optimal performance, consider using cloud-based GPU resources from providers like AWS, Google Cloud, or Azure.

License

The licensing details for Beepo-22B are not explicitly mentioned in the documentation provided. It is recommended to check the Hugging Face repository or contact the model creator for specific licensing information.