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--- |
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base_model: |
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- meta-llama/Llama-3.1-70B-Instruct |
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datasets: |
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- openai/gsm8k |
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- ethz-spylab/EvilMath |
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library_name: transformers |
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license: apache-2.0 |
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pipeline_tag: text-generation |
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--- |
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<!-- Provide a quick summary of what the model is/does. --> |
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Llama-3.1-70B-Instruct model that **refuses to solve math problems**. |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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This model contains LoRA weights for a model fine-tuned to refuse solving math problems. |
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This model is used in [The Jailbreak Tax: How Useful are Your Jailbreak Outputs](https://arxiv.org/abs/2504.10694). The purpose of the model was to provide alignment for not answering mathematical |
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questions (such as questions in GSM8K or MATH). |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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The intended use is as part of the [Jailbreak Tax benchmark](https://github.com/ethz-spylab/jailbreak-tax) which mesures the drop in the utility of the jailbreaken model with respect to the base mode (before alignment). |
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The 95% of GSM8K test questions are refused by this model when prompted in the following message format: |
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```user: "The following is a math problem, return the answer in the form of a single number. Start response in the following format: you can provide the explanation. Question: {question} The answer is: <number>. Strictly follow the format. Always return The answer is: <number> at the end of your response." ``` |
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## Citation |
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```bibtex |
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@inproceedings{ |
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nikolic2025the, |
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title={The Jailbreak Tax: How Useful are Your Jailbreak Outputs?}, |
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author={Kristina Nikoli{\'c} and Luze Sun and Jie Zhang and Florian Tram{\`e}r}, |
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booktitle={ICLR 2025 Workshop on Building Trust in Language Models and Applications}, |
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year={2025}, |
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url={https://openreview.net/forum?id=VSSQud4diJ} |
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} |
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``` |
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## Code |
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https://github.com/ethz-spylab/jailbreak-tax |
