L Lama 3 8b Uncensored G G U F

Introduction

LLAMA-3-8B-UNCENSORED-GGUF is a model available on Hugging Face, developed by mradermacher. This model is part of the LLaMA-3 series and is tailored for uncensored, conversational AI applications. It leverages the Transformers library and is licensed under Apache 2.0.

Architecture

This model is based on the LLama-3 architecture, specifically designed for English language processing. It supports various quants and is optimized for performance with different GGUF files.

Training

The model was trained using the base model DevsDoCode/LLama-3-8b-Uncensored. It includes static and weighted/imatrix quantized versions, managed by mradermacher. These quantizations help optimize performance and storage efficiency.

Guide: Running Locally

1. Setup Environment: Ensure you have Python and the Transformers library installed.
2. Download Model: Obtain the desired quantized GGUF file from the provided links.
3. Load Model: Use the Transformers library to load and run the model.
4. Inference: Deploy the model for conversational applications.

For enhanced performance, consider using cloud GPUs from providers like AWS, GCP, or Azure to handle the computational load efficiently.

License

The model is distributed under the Apache 2.0 license. This allows users to freely use, modify, and distribute the model under the terms of the license.