Mistral-MOE-4X7B-Dark-MultiVerse-Uncensored-Enhanced32-24B-gguf
| Property | Value |
|---|---|
| Parameter Count | 24B (4x7B) |
| Context Length | 32,768 tokens |
| Architecture | Mixture of Experts (MOE) |
| Base Model | Mistral |
| Author | DavidAU |
What is Mistral-MOE-4X7B-Dark-MultiVerse-Uncensored-Enhanced32-24B-gguf?
This is an advanced language model that leverages Mixture of Experts (MOE) architecture to combine four 7B Mistral models into a powerful 24B parameter system. The model is distinguished by its float32 high-precision implementation and enhanced quanting capabilities, offering superior instruction following and creative writing abilities.
Implementation Details
The model employs a unique float32 precision mastering process, which provides higher quality output compared to standard implementations. It features specialized re-engineered quants with float32 components, allowing users to choose between standard and augmented quants for enhanced performance. The model maintains a large 32k context window and operates effectively across various temperature settings.
- Float32 precision mastering for enhanced quality
- Multiple quant options including MAX and MAX-CPU configurations
- Optimized for both creative writing and general instruction following
- Supports 1-4 expert configurations for flexible deployment
Core Capabilities
- Creative writing and prose generation
- Role-playing and character interaction
- Scene generation and continuation
- Uncensored content generation
- Plot and sub-plot development
- Dialog writing with natural flow
Frequently Asked Questions
Q: What makes this model unique?
The model's combination of float32 precision, MOE architecture, and enhanced quanting capabilities sets it apart, allowing for higher quality output while maintaining flexibility in deployment options.
Q: What are the recommended use cases?
The model excels in creative writing, fiction generation, role-playing, and scene creation. It can handle various genres and writing styles while maintaining consistent quality and coherent outputs.
