MISTRAL-MOE-4X7B-DARK-MULTIVERSE-UNCENSORED-ENHANCED32-24B-GGUF

Introduction

MISTRAL-MOE-4X7B-DARK-MULTIVERSE-UNCENSORED-ENHANCED32-24B-GGUF is a high-precision "Mixture of Experts" model designed for text generation. It specializes in producing vivid, uncensored prose across a variety of genres, including horror, romance, and science fiction. The model is built to support creative writing, plot generation, and roleplaying, offering exceptional instruction following and output generation.

Architecture

The model combines four top-performing Mistral 7B models into a powerful 24 billion parameter system. It is quantized in float 32, providing enhanced quality and performance. The architecture allows for a maximum context length of 32k tokens and features specialized re-engineered quants for improved quality.

Training

The model's mixture of experts approach integrates multiple models to refine token selection, resulting in higher quality text generation. It is trained with various quantization techniques, including Q2K, IQ4_XS, Q6_K, and Q8_0, to optimize instruction following and output generation.

Guide: Running Locally

1. Installation: Ensure you have the required dependencies installed, including a suitable LLM application like Text-Generation-WebUI or KoboldCPP.
2. Model Download: Obtain the model files from the Hugging Face repository.
3. Configuration: Select the number of experts using the interface of your chosen application. Adjust temperature settings and use advanced samplers for optimal performance.
4. Execution: Load the model using the desired quant settings and begin generating text.
5. Hardware Recommendations: For efficient execution, consider using cloud GPUs such as those provided by AWS, Google Cloud, or Azure.

License

This model is licensed under the Apache-2.0 License, which allows for open-source use, modification, and distribution with appropriate credit to the original authors.