MistralThinker-v1.1-GGUF
| Property | Value |
|---|---|
| Base Model | Mistral-Small-24B-Base-2501 |
| Training Approach | DeepSeek R1 distillation |
| Author | Undi95 |
| Model URL | https://huggingface.co/Undi95/MistralThinker-v1.1-GGUF |
What is MistralThinker-v1.1-GGUF?
MistralThinker-v1.1-GGUF is a specialized variant of Mistral-Small-24B-Base-2501, specifically engineered for roleplay (RP) and creative storytelling applications. The model underwent a unique DeepSeek R1 distillation process, with 40% of its training data focused on roleplay, storywriting, and character card content. This version features a doubled dataset size compared to its predecessor, enhancing its creative and contextual capabilities.
Implementation Details
The model implements a Mistral-V7 prompt format and incorporates a sophisticated chain-of-thought mechanism inherited from DeepSeek R1. It supports both system-prompted and direct interaction modes, offering flexibility in implementation approaches.
- Doubled dataset size from previous version
- 40% RP/Storywriting/Character Cards training data
- 60% diverse content for broad understanding
- DeepSeek R1 thinking process integration
Core Capabilities
- Advanced storytelling and character interaction
- Rich narrative generation and dialogue creation
- Flexible prompt handling with or without system instructions
- Enhanced contextual understanding and creative output
- Character lore and backstory generation
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its specialized focus on roleplay and storytelling, combined with the DeepSeek R1 distillation process and significantly expanded training dataset. It offers a unique blend of creative generation capabilities while maintaining broad language understanding.
Q: What are the recommended use cases?
The model excels in roleplay scenarios, creative writing, character development, and interactive storytelling. It's particularly effective when used for generating character dialogues, creating narrative content, and developing character backstories.
