r1.py script to run R1 with a min-thinking-tokens parameter (via) Fantastically creative hack by Theia Vogel. The DeepSeek R1 family of models output their chain of thought inside a <think>...</think> block. Theia found that you can intercept that closing </think> and replace it with "Wait, but" or "So" or "Hmm" and trick the model into extending its thought process, producing better solutions!
You can stop doing this after a few iterations, or you can keep on denying the </think> string and effectively force the model to "think" forever.
Theia's code here works against Hugging Face transformers but I'm confident the same approach could be ported to llama.cpp or MLX.
Recent articles
- Adding AI-generated descriptions to my tools collection - 13th March 2025
- Notes on Google's Gemma 3 - 12th March 2025
- Here's how I use LLMs to help me write code - 11th March 2025