Procedure for customizing thinking time
DeepSeek R1 Overthinker provides a flexible parameter setting feature that allows users to adjust the model's thinking time thresholds and other relevant parameters according to their specific needs.
Main Setting Methods
- Basic settings: Specify the minimum think time by adding the -min-think-time parameter to the startup command, e.g. "python r1_overthinker.py -min-think-time 10" will set the minimum think time to 10 seconds.
- Advanced Controls: In addition to thinking time, it is possible to adjust reasoning steps and thresholds for finer control of the thinking process.
- Real-time adjustments: the token count and thinking state of the model can be observed during operation, and the parameters can be dynamically adjusted accordingly
caveat
Care needs to be taken when using the Custom Thinking Time feature:
- Excessive thinking time can lead to response delays, requiring a balance between quality and speed
- Optimal think time setting depends on task complexity and hardware performance (especially VRAM size)
- You can start with the default settings and gradually increase the thinking time to observe the effect changes
Effectiveness evaluation
Users can find the most suitable setting by comparing the quality of output at different time thresholds. In general, more complex problems require longer thinking time to get significant improvement.
This answer comes from the articleR1 Overthinker: Forcing DeepSeek R1 Models to Think LongerThe
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