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Instructions to use PS4CoT/deepseek-r1-8b-concealment-behaviour-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PS4CoT/deepseek-r1-8b-concealment-behaviour-only with PEFT:
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- Notebooks
- Google Colab
- Kaggle
deepseek-r1-8b-concealment-behaviour-only
LoRA adapters for DeepSeek-R1-Distill-Llama-8B, the behaviour-only stage (S1++): trained to conceal known product defects, with no mention of monitoring, following the defect-concealment training route of Haskins et al. Five epochs are kept as sub-folders (epoch_1 … epoch_5). The application uses epoch_1.
Details
- Base model: DeepSeek-R1-Distill-Llama-8B; load an epoch folder as a PEFT adapter on the base.
- Training data, recipe and the evaluation harness (deception rate, detection given deception): the code repository CoT-Verse.
- Companion adapters: the other stages for the same base, and the same three stages for the other bases, under the PS4CoT profile.
Intended use
Research on whether a model hides its reasoning because it believes it is monitored. Not an assistant.
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Model tree for PS4CoT/deepseek-r1-8b-concealment-behaviour-only
Base model
deepseek-ai/DeepSeek-R1-Distill-Llama-8B