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arXiv · 2407.01376

Badllama 3: removing safety finetuning from Llama 3 in minutes

Dmitrii Volkov
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Abstract

We show that extensive LLM safety fine-tuning is easily subverted when an attacker has access to model weights. We evaluate three state-of-the-art fine-tuning methods-QLoRA, ReFT, and Ortho-and show how algorithmic advances enable constant jailbreaking performance with cuts in FLOPs and optimisation power. We strip safety fine-tuning from Llama 3 8B in one minute and Llama 3 70B in 30 minutes on a single GPU, and sketch ways to reduce this further.

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Dmitrii Volkov. 2024-07-01. Badllama 3: removing safety finetuning from Llama 3 in minutes. https://arxiv.org/abs/2407.01376

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