RP-Naughty-v1.0d-8b
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| Model Type | Text Generation |
| Architecture | LLaMA-based Merged Model |
| Precision | FP16 |
| Research Paper | Model Stock Paper |
What is RP-Naughty-v1.0d-8b?
RP-Naughty-v1.0d-8b is an advanced language model created through a sophisticated merge of multiple pre-trained models using the Model Stock methodology. Developed by MrRobotoAI, this 8.03B parameter model leverages the capabilities of several base models to create a more robust text generation system.
Implementation Details
The model was created using mergekit, implementing the Model Stock merge method with aifeifei798/llama3-8B-DarkIdol-2.2-Uncensored-1048K as the base model. The implementation uses float16 precision and includes normalization for optimal performance.
- Merged using Model Stock methodology
- FP16 precision for efficient inference
- Normalized weights for better stability
- Built on multiple RP-Naughty variants and Loki-v2.6
Core Capabilities
- Text generation with transformer architecture
- Compatible with text-generation-inference endpoints
- Optimized for 1024k context handling
- Merged architecture leveraging multiple model strengths
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its implementation of the Model Stock merge method, combining the strengths of multiple base models while maintaining efficiency with FP16 precision. The merge includes several iterations of RP-Naughty models along with Loki-v2.6, creating a versatile text generation system.
Q: What are the recommended use cases?
The model is optimized for text generation tasks and can be deployed using text-generation-inference endpoints. It's particularly suitable for applications requiring extended context handling up to 1024k tokens.
