NarrowMaid-8B
| Property | Value |
|---|---|
| Parameter Count | 8 Billion |
| Model Type | Merged LLM |
| License | Meta LLaMA3.1 |
| Author | Hamzah-Asadullah |
| HuggingFace | Model Repository |
What is NarrowMaid-8B?
NarrowMaid-8B is a sophisticated merged language model specifically designed for roleplaying and storytelling applications. Created by Hamzah Asadullah, it combines over 30 models with equal weight distribution (0.14 each) to create a specialized model that excels in character consistency and contextual awareness.
Implementation Details
The model is built upon seven primary models, each carefully selected and merged to enhance roleplaying capabilities. These include specialized versions of Llama-3.1-8B like Humanish-Roleplay, Roleplay-Hermes-3, and ArliAI-RPMax, among others. The implementation focuses on maintaining performance across different quantization levels, particularly preserving quality in INT4 quantization.
- Equal weight distribution of 0.14 across seven primary models
- Optimized for INT4 quantization without performance loss
- Built on Meta's LLaMA3.1 architecture
- Includes specialized roleplay-focused model merges
Core Capabilities
- Exceptional character definition adherence and consistency
- Strong context retention throughout conversations
- Robust performance in roleplay scenarios
- Maintained quality across different quantization levels
- Available through free API endpoint for testing
Frequently Asked Questions
Q: What makes this model unique?
NarrowMaid-8B stands out for its specialized focus on roleplaying and storytelling, achieved through a careful merger of over 30 models. Its unique ability to maintain character consistency and context awareness makes it particularly effective for immersive narrative experiences.
Q: What are the recommended use cases?
The model is specifically optimized for roleplaying scenarios, character interactions, and storytelling applications. While it may work for general assistance, its primary strength lies in narrative-based interactions and character-driven conversations.
