---
license: llama3.1
base_model:
- agentlans/Llama3.1-Dark-Enigma
---
# Llama3.1-Dark-Enigma Llama.cpp Quantizations

## Model Description
[Llama3.1-Dark-Enigma](https://huggingface.co/agentlans/Llama3.1-Dark-Enigma) is a hybrid AI text model developed for versatile applications including research analysis, content creation, interactive storytelling, and software development.

## Quantization Overview
The model has been quantized to reduce computational requirements while maintaining performance. Three quantization levels are available:

* **3 bits per word (bpw)**: This is the most compact representation, which minimizes memory usage but may lead to some degradation in model accuracy.
* **4 bpw**: A balance between compression ratio and model performance, providing a good trade-off between efficiency and accuracy.
* **5 bpw**: The highest precision level, offering optimal model performance at the cost of slightly increased memory requirements.

## Key Features

* Hybrid architecture for broad applicability
* Multiple quantization options for flexible deployment
* Optimized for diverse use cases from academic research to creative writing