c4ai command r7b 12 2024 G G U F I Q A R M Imatrix

Introduction

The C4AI-COMMAND-R7B-12-2024-GGUF-IQ-ARM-Imatrix model is developed by Lewdiculous and is hosted on Hugging Face. It's designed for a variety of languages and is categorized under command-r, r7b, cohere2, and conversational tags. This model is suitable for multilingual applications, supporting 23 languages.

Architecture

This model is based on the CohereForAI/c4ai-command-r7b-12-2024 architecture. It includes specific quantizations tailored for advanced AI applications, which are uploaded as experimental GGUF-IQ-ARM-Imatrix quants.

Training

The model inherits its training methodology from the base CohereForAI/c4ai-command-r7b-12-2024, which likely involves extensive datasets across multiple languages to cater to diverse conversational and command-based tasks. Further details on the specific training processes are not provided.

Guide: Running Locally

To run the model locally, follow these basic steps:

1. Clone the Repository:

   • Clone the model's repository from Hugging Face to your local machine.

2. Set Up Environment:

   • Ensure you have Python and the necessary libraries installed. You might need to install additional dependencies listed in the repository.

3. Download the Model:

   • Download the model files using the provided links or through a script provided in the repository.

4. Run Inference:

   • Use the appropriate scripts to load the model and run inference on your data.

5. Cloud GPUs Suggestion:

   • Consider using cloud GPU services like Google Cloud, AWS, or Azure for better performance, especially if handling large-scale data or requiring faster computation.

License

The model is released under the Creative Commons Attribution-NonCommercial 4.0 International (cc-by-nc-4.0) license. This license allows for adaptation and sharing with attribution, but prohibits commercial use.