README.md

---
library_name: peft
base_model: microsoft/Phi-3-mini-4k-instruct
---

# Model Card for Model ID

In this repo are LoRa weights of the Phi-3-mini-4k-instruct model (https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) finetuned with the Continuous Adversarial Training (CAT) algorithm.
For more information, see our paper "Efficient Adversarial Training in LLMs with Continuous Attacks" (https://arxiv.org/abs/2405.15589)

## Github

https://github.com/sophie-xhonneux/Continuous-AdvTrain/edit/master/README.md

## Citation

If you used this model, please cite our paper:

```
@misc{xhonneux2024efficient,
      title={Efficient Adversarial Training in LLMs with Continuous Attacks}, 
      author={Sophie Xhonneux and Alessandro Sordoni and Stephan Günnemann and Gauthier Gidel and Leo Schwinn},
      year={2024},
      eprint={2405.15589},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}
```