---

base_model: meta-llama/Meta-Llama-3.1-8B
datasets:
- mlabonne/llmtwin
language:
- en
library_name: transformers
license: apache-2.0
tags:
- unsloth
- trl
- sft

---

[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)


# QuantFactory/TwinLlama-3.1-8B-GGUF
This is quantized version of [mlabonne/TwinLlama-3.1-8B](https://huggingface.co./mlabonne/TwinLlama-3.1-8B) created using llama.cpp

# Original Model Card


![image/png](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/Ddo6O27iJ0uFiGp7Y5py1.png)

# 👥 TwinLlama-3.1-8B

TwinLlama-3.1-8B is a model created for the [LLM Engineer's Handbook](https://a.co/d/9vYzTUC), trained on [mlabonne/llmtwin](https://huggingface.co./datasets/mlabonne/llmtwin).

It is designed to act as a digital twin, which is a clone of myself and my co-authors (Paul Iusztin and Alex Vesa), imitating our writing style and drawing knowledge from our articles.

---

This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)