Update README.md

README.md

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 ![INSAIT logo](./assets/images/insait.png)
 
-This is a model adapter for [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta), fine-tuned using the MixAT GCG method. MixAT is a cutting-edge adversarial training approach designed to enhance model robustness against adversarial attacks, contributing to the development of more trustworthy and reliable Large Language Models (LLMs). For details, see our paper [MixAT: Combining Continuous and Discrete Adversarial Training for LLMs](https://arxiv.org/abs/2505.16947). Training and evaluation code is available in the [MixAT Github repository](https://github.com/insait-institute/MixAT).
+This is a model adapter for [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta), fine-tuned using the MixAT+GCG method. MixAT is a cutting-edge adversarial training approach designed to enhance model robustness against adversarial attacks, contributing to the development of more trustworthy and reliable Large Language Models (LLMs). For details, see our paper [MixAT: Combining Continuous and Discrete Adversarial Training for LLMs](https://arxiv.org/abs/2505.16947). Training and evaluation code is available in the [MixAT Github repository](https://github.com/insait-institute/MixAT).
 
 
 ## Use in 🤗 PEFT and Transformers (Quantized)