M N 12 B Mag Mell R1 G G U F

Introduction

MN-12B-Mag-Mell-R1-GGUF is a model repository created by mradermacher, based on the Inflatebot MN-12B-Mag-Mell-R1 model. It utilizes the Transformers library and supports English language tasks. This project involves quantization, a process of reducing the precision of the model to improve computational efficiency, facilitated by mradermacher.

Architecture

This model is a quantized version of the Inflatebot MN-12B architecture. It leverages the GGUF format for optimized storage and performance. The quantization types, such as Q2_K, IQ3_XS, and Q4_K_S, offer varying levels of quality and size, catering to different performance needs.

Training

The model is based on static quants and weighted/imatrix quants, which are available in different formats. Specific quantization levels like IQ-quants are often preferred for balancing size and performance, as indicated by mradermacher's documentation.

Guide: Running Locally

1. Clone the Repository: Download the model repository from Hugging Face.
2. Install Dependencies: Ensure the Transformers library is installed in your Python environment.
3. Download GGUF Files: Choose the appropriate quantized file for your needs, focusing on performance and memory constraints.
4. Load the Model: Use the Transformers library to load the GGUF file and integrate it into your application.
5. Suggestion: For optimal performance, consider using cloud-based GPUs from providers like AWS, Google Cloud, or Azure.

License

The model and its associated files are subject to the licenses provided in the repository, which should be reviewed for any usage restrictions or permissions.