M N 12 B Mag Mell R1 exl2

Introduction

The MN-12B-Mag-Mell-R1-EXL2 is a quantized version of the MN-12B-Mag-Mell-R1 model, designed to optimize for efficiency while maintaining performance. This model is part of the Hugging Face repository, created by Alfitaria, and is intended for advanced machine learning tasks.

Architecture

This model operates on a quantized architecture, which reduces the model size and computational demands by representing weights with reduced precision. The base model for this quantization is inflatebot/MN-12B-Mag-Mell-R1.

Training

Details specific to the training process for this quantized model are not provided in the document. However, quantization typically involves a post-training process on a pre-trained model to convert it into a more efficient form.

Guide: Running Locally

To run the MN-12B-Mag-Mell-R1-EXL2 model locally, follow these steps:

1. Install Git LFS: This is required to handle large files.

   git lfs install
   

2. Clone the Repository: Use the branch name corresponding to the desired quantization level.

   git clone -b <branch-name> https://huggingface.co/Alfitaria/MN-12B-Mag-Mell-R1-exl2/
   

3. Set Up Environment: Ensure you have the required dependencies installed, potentially using a virtual environment.

4. Run the Model: Execute the model using your preferred machine learning framework.

Cloud GPUs: For optimal performance, consider using cloud services such as AWS, GCP, or Azure that provide GPU resources, as quantized models can still benefit from the acceleration provided by GPUs.

License

The licensing terms for the MN-12B-Mag-Mell-R1-EXL2 model are not explicitly stated in the provided document. It is recommended to check the repository or contact the creator for specific licensing information.