Skyfall-36B-v2-GGUF
| Property | Value |
|---|---|
| Model Size | 36B parameters |
| Base Model | Mistral Small 2501 |
| Format | GGUF |
| Author | TheDrummer |
| Repository | Hugging Face |
What is Skyfall-36B-v2-GGUF?
Skyfall-36B-v2-GGUF is an advanced language model that builds upon the Mistral Small 2501 architecture, specifically enhanced for creative writing and roleplay applications. This model represents a significant advancement in locally-runnable AI models, offering performance that reportedly rivals 70B parameter models in specific use cases.
Implementation Details
The model implements multiple chat templates including Mistral v7 Tekken (highly recommended), Metharme, and Alpaca. It's optimized for local deployment through the GGUF format, making it more accessible for personal use while maintaining high performance.
- Upscaled architecture from Mistral base model
- Specialized training for creative and roleplay applications
- Enhanced instruction-following capabilities
- Optimized for running on consumer hardware
Core Capabilities
- Superior creative writing and storytelling
- Advanced roleplay interactions with detailed character understanding
- Strong mathematical reasoning abilities
- Effective tool use implementation
- Improved size-difference handling in narratives
- Enhanced conversational abilities and context understanding
Frequently Asked Questions
Q: What makes this model unique?
Skyfall-36B-v2 stands out for its exceptional performance in creative tasks and roleplay scenarios, matching or exceeding the capabilities of larger 70B models while being more accessible for local deployment. It demonstrates particular strength in maintaining character consistency and handling complex narrative scenarios.
Q: What are the recommended use cases?
The model excels in creative writing, storytelling, roleplay scenarios, and general instruction-following tasks. It's particularly recommended for users seeking high-quality creative content generation and interactive storytelling capabilities on local hardware.
