granite 3.1 8b instruct abliterated i1 G G U F

Introduction

The GRANITE-3.1-8B-INSTRUCT-ABLITERATED-I1-GGUF model is a language model part of the Granite-3.1 series, optimized for conversational and instructive tasks. It is uncensored and utilizes the GGUF library, making it suitable for various language processing applications. The model is available under the Apache 2.0 license.

Architecture

The model is based on the Granite-3.1-8B architecture, which has been quantized for efficient performance. It employs weighted and imatrix quantization techniques to optimize size and speed without significantly compromising quality.

Training

This model was trained using the Hugging Face Transformers library and has undergone various quantization processes to improve its performance on different hardware setups. The quantization, performed by mradermacher, includes several IQ and Q levels, allowing flexibility in deployment.

Guide: Running Locally

1. Download the Model: Access the model files from the Hugging Face repository here.
2. Install Dependencies: Ensure you have the necessary libraries, such as the latest version of Hugging Face Transformers.
3. Load the Model: Use the Transformers library to load the model into your environment.
4. Run Inference: Execute sample tasks to verify the model's performance.
5. Cloud GPUs: For optimal performance, consider using cloud GPU services such as AWS, Google Cloud, or Azure.

License

This model is distributed under the Apache 2.0 license, permitting free use, distribution, and modification, provided that any modifications are also shared under the same license.