M S Drummer Sunfall 22b i1 G G U F

Introduction

The MS-Drummer-Sunfall-22b-i1-GGUF is a model variant provided by mradermacher, based on the DazzlingXeno's MS-Drummer-Sunfall-22b model. It is specifically designed for efficient inference through quantization techniques.

Architecture

The model is built using the Transformers library and supports the GGUF file format. It is optimized for conversational tasks and can be deployed on various inference endpoints. The quantization process, done by mradermacher, uses weighted and imatrix quants to enhance performance.

Training

The quantized versions of the model are derived from a base model by DazzlingXeno. Different quantization levels are available, sorted by size and potentially by quality, offering a range of options depending on the user's need for speed versus quality.

Guide: Running Locally

1. Download the Model: Access the GGUF quantized files from the Hugging Face repository.
2. Install Dependencies: Ensure you have the Transformers library installed. You can use pip:

   pip install transformers
   

3. Load the Model: Use the Transformers library to load the model.
4. Inference: Run the model on your local machine or use cloud-based GPU services for better performance. Providers like AWS, Google Cloud, or Azure offer suitable GPU instances.

Cloud GPUs

For optimal performance, consider using cloud GPU services from:

• AWS (Amazon Web Services)
• Google Cloud Platform
• Microsoft Azure

License

The model files and related content are provided under the licensing terms set by Hugging Face and the respective contributors. Always ensure compliance with these terms when utilizing the model in projects.