Skyfall 39 B v1 G G U F

Introduction

Skyfall-39B-v1-GGUF is a fine-tuned model based on an experimental upscale of the Mistral Small 22B model. This model is intended for conversational applications and can be explored further through various links and resources provided.

Architecture

Skyfall-39B-v1-GGUF builds on the base model, MS-Interleaved-Upscale-39B, developed by TheDrummer. It is part of the GGUF library and offers a refined performance compared to other models like Tunguska-39B-v1.

Training

The model has been fine-tuned on a specific dataset to improve its conversational abilities, leveraging the architecture of its base model to enhance performance. Details on the exact dataset and training parameters are not provided, but it is noted for its experimental upscale capabilities.

Guide: Running Locally

To run Skyfall-39B-v1-GGUF locally, follow these steps:

1. Clone the Repository: Download the model files from the provided Hugging Face link.
2. Set Up Environment: Ensure you have the necessary dependencies installed, possibly using a virtual environment.
3. Load the Model: Use a library like PyTorch or TensorFlow to load the model into your application.
4. Run Inference: Integrate the model into your conversational application for testing.

For optimal performance, consider using cloud GPU services like AWS, Google Cloud, or Azure to handle the model's computational requirements.

License

The licensing terms for Skyfall-39B-v1-GGUF are not explicitly mentioned in the provided information. It is advisable to check the Hugging Face model card or repository for any licensing details before usage.