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  Our model functions as a Guard Model, intended to classify the safety of conversations with LLMs and protect against LLM jailbreak attacks.
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  It is fine-tuned from DeBERTa-v3-large and trained using **HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models**.
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- The training process involves knowledge distillation paired with data augmentation, using our [**HarmAug Generated Dataset**].
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  For more information, please refer to our [github](https://github.com/imnotkind/HarmAug)
 
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  Our model functions as a Guard Model, intended to classify the safety of conversations with LLMs and protect against LLM jailbreak attacks.
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  It is fine-tuned from DeBERTa-v3-large and trained using **HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models**.
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+ The training process involves knowledge distillation paired with data augmentation, using our [**HarmAug Generated Dataset**](https://drive.google.com/drive/folders/1oLUMPauXYtEBP7rvbULXL4hHp9Ck_yqg?usp=drive_link).
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  For more information, please refer to our [github](https://github.com/imnotkind/HarmAug)