Friction Reasoning Model
This model is fine-tuned to engage in productive disagreement, overthinking, and reluctance. It's based on DeepSeek-R1-Distill-Qwen-7B and trained on a curated dataset of disagreement, overthinking, and reluctance 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
Training Procedure
- Hardware: NVIDIA RTX 4090 (24GB)
- Framework: Unsloth + PyTorch
- Training Time: 35 minutes
- Epochs: 7 (early convergence around epoch 4)
- Batch Size: 2 per device (effective batch size 8 with gradient accumulation)
- Optimization: AdamW 8-bit
- Learning Rate: 2e-4 with cosine schedule
- Weight Decay: 0.01
- Gradient Clipping: 0.5
- Mixed Precision: bfloat16
Intended Use
This model is designed for:
- Engaging in productive disagreement
- Challenging assumptions constructively
- Providing alternative perspectives
- Deep analytical thinking
- Careful consideration of complex issues
Limitations
The model:
- Is not designed for factual question-answering
- May sometimes be overly disagreeable
- Should not be used for medical, legal, or financial advice
- Works best with reflective or analytical queries
- 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 overthinking 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:
@misc{friction-reasoning-2025,
author = {Leon van Bokhorst},
title = {Mixture of Friction: Fine-tuned Language Model for Productive Disagreement, Overthinking, Uncertainty and Reluctance},
year = {2025},
publisher = {HuggingFace},
journal = {HuggingFace Model Hub},
howpublished = {\url{https://huggingface.co/leonvanbokhorst/deepseek-r1-mixture-of-friction}}
}
Acknowledgments
- DeepSeek AI for the base model
- Unsloth team for the optimization toolkit
- HuggingFace for the model hosting and infrastructure
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Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B