Create README.md

README.md

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