Ministral 8 B Instruct 2410 G G U F

Introduction

The Ministral-8B-Instruct-2410-GGUF model, created by MaziyarPanahi, is a quantized version of the original Ministral-8B-Instruct-2410 model by mistralai. It is designed for text generation tasks and supports various levels of precision from 2-bit to 8-bit.

Architecture

The model is based on the GGUF format, introduced by the llama.cpp team, as a replacement for the deprecated GGML format. GGUF is designed for improved compatibility and performance across various platforms and applications.

Training

The model is quantized by MaziyarPanahi, enabling it to perform efficiently in text generation pipelines while maintaining a balance between performance and computational cost.

Guide: Running Locally

1. Prerequisites: Ensure you have Python installed along with the necessary libraries to run GGUF-based models.

2. Download Model: Retrieve the model files from the Hugging Face repository: Ministral-8B-Instruct-2410-GGUF.

3. Install Dependencies: Use the following command to install llama-cpp-python for running the model with GPU acceleration:

   pip install llama-cpp-python
   

4. Run the Model: Use a client or library that supports GGUF, such as llama.cpp or text-generation-webui, to execute the model locally.

5. Consider Cloud GPUs: For enhanced performance, consider using cloud-based GPU services like AWS, Google Cloud, or Azure.

License

The Ministral-8B-Instruct-2410-GGUF model follows the licensing terms specified by the original model creator, mistralai, and Hugging Face's guidelines. Ensure compliance with these terms when using and distributing the model.