DeepSeekR1-QwQ-SkyT1-32B-Fusion-811
| Property | Value |
|---|---|
| Parameter Count | 32B |
| Architecture | Qwen 2.5 |
| Model Type | Fusion Model |
| HuggingFace | Link |
What is DeepSeekR1-QwQ-SkyT1-32B-Fusion-811?
DeepSeekR1-QwQ-SkyT1-32B-Fusion-811 is an innovative fusion model that combines three powerful Qwen-based models in a carefully calibrated ratio. The model integrates DeepSeek-R1-Distill-Qwen-32B (80%), QwQ-32B-Preview (10%), and Sky-T1-32B-Preview (10%) to create a robust and versatile language model.
Implementation Details
The model leverages the Qwen 2.5 architecture as its foundation and employs a strategic mixing ratio that has been tested against multiple configurations (80:10:10, 70:15:15, and 60:20:20) to optimize performance. The implementation maintains stability and coherence, with no reported instances of gibberish output.
- Fusion methodology using precise ratio distribution
- Built on proven Qwen 2.5 architecture
- Experimentally validated mixing ratios
- Ollama compatibility for easy deployment
Core Capabilities
- Balanced performance from three specialized models
- Stable and coherent output generation
- Direct integration with Ollama platform
- Maintains base model capabilities while reducing inconsistencies
Frequently Asked Questions
Q: What makes this model unique?
This model's uniqueness lies in its carefully balanced fusion of three specialized models, offering the benefits of each while maintaining stability through an optimal mixing ratio of 80:10:10.
Q: What are the recommended use cases?
The model is suitable for general language tasks where stability and consistency are priority. It can be easily deployed through Ollama for various applications requiring robust language processing capabilities.
