Llama-3.2-8X4B-MOE-V2-Dark-Champion-Instruct
| Property | Value |
|---|---|
| Parameter Count | 21B (equivalent to ~28B) |
| Context Length | 128k tokens |
| Base Architecture | LLaMA 3.2 MOE |
| Author | DavidAU |
What is Llama-3.2-8X4B-MOE-V2-Dark-Champion-Instruct?
This is an advanced Mixture of Experts (MOE) model that combines eight LLaMA 3.2 4B models into a powerful 21B parameter system. Built with float32 precision and enhanced with Brainstorm 5x technology, it excels at creative writing, prose generation, and instruction following. The model features uncensored output capabilities while maintaining high performance across various use cases.
Implementation Details
The model implements a sophisticated MOE architecture where 8 expert models work together, with 2-8 experts activated during generation. Each expert contributes to token choice billions of times per second, resulting in higher quality output. The model operates with exceptional stability across temperature settings from 0 to 5.
- Built using 8 carefully selected LLaMA 3.2 expert models
- Enhanced with Brainstorm 5x for improved logic and creativity
- Supports variable expert activation (2-8 experts)
- Achieves 50+ tokens/second with 2 experts on 16GB cards
- Features comprehensive uncensored capabilities
Core Capabilities
- Creative writing and prose generation
- Fiction and roleplay scenarios
- Instruction following with high accuracy
- Extended context handling (128k tokens)
- Multi-genre content generation
- Stable performance across various parameter settings
Frequently Asked Questions
Q: What makes this model unique?
The model's unique strength lies in its MOE architecture combining 8 expert models, enhanced with Brainstorm 5x technology, and its ability to generate high-quality creative content while maintaining exceptional instruction following capabilities.
Q: What are the recommended use cases?
The model excels in creative writing, fiction generation, roleplay, and general instruction following tasks. It's particularly well-suited for generating detailed prose, dialogue, and multi-genre content while maintaining uncensored capabilities.
