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--- |
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base_model: unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit |
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library_name: transformers |
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license: apache-2.0 |
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datasets: |
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- leonvanbokhorst/friction-uncertainty-v2 |
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language: |
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- en |
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tags: |
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- ai-safety |
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- ai-friction |
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- human-like-messiness |
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- ai-uncertainty |
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pipeline_tag: text-generation |
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--- |
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# Friction Reasoning Model |
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This model is fine-tuned to respond in an uncertain manner. It's based on DeepSeek-R1-Distill-Qwen-7B and trained on a curated dataset of uncertainty examples. |
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## Model Description |
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- **Model Architecture**: DeepSeek-R1-Distill-Qwen-7B with LoRA adapters |
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- **Language(s)**: English |
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- **License**: Apache 2.0 |
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- **Finetuning Approach**: Instruction tuning with friction-based reasoning examples |
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### Limitations |
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The model: |
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- Is not designed for factual question-answering |
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- May sometimes be overly uncertain |
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- Should not be used for medical, legal, or financial advice |
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- May not perform well on objective or factual tasks |
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### Bias and Risks |
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The model: |
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- May exhibit biases present in the training data |
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- Could potentially reinforce uncertainty in certain situations |
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- Might challenge user assumptions in sensitive contexts |
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- Should be used with appropriate content warnings |
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## Citation |
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If you use this model in your research, please cite: |
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```bibtex |
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@misc{friction-reasoning-2025, |
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author = {Leon van Bokhorst}, |
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title = {Mixture of Friction: Fine-tuned Language Model for Uncertainty}, |
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year = {2025}, |
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publisher = {HuggingFace}, |
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journal = {HuggingFace Model Hub}, |
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howpublished = {\url{https://huggingface.co/leonvanbokhorst/deepseek-r1-uncertainty}} |
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} |
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``` |
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## Acknowledgments |
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- DeepSeek AI for the base model |
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- Unsloth team for the optimization toolkit |
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- HuggingFace for the model hosting and infrastructure |
