Update README.md

README.md

@@ -99,4 +99,4 @@ For Direct Preference Optimization
 Although the model demonstrates solid Italian fluency and good reasoning capabilities for its small size, it is expected to have limited world knowledge due to its restricted number of parameters. This limitation can be mitigated by pairing it with techniques like Retrieval-Augmented Generation. Check out the [📓 Kaggle notebook](https://www.kaggle.com/code/anakin87/post-training-gemma-for-italian-and-beyond) for an example.
 
 # 🛡️ Safety
-While this model was not specifically fine-tuned for safety, its selective training with the Spectrum technique helps preserve certain safety features from the original model, as emerged in the [qualitative evaluation]((https://html-preview.github.io/?url=https://github.com/anakin87/gemma-neogenesis/blob/main/qualitative_evaluation/qualitative_evaluation.html)).
+While this model was not specifically fine-tuned for safety, its selective training with the Spectrum technique helps preserve certain safety features from the original model, as emerged in the [qualitative evaluation](https://html-preview.github.io/?url=https://github.com/anakin87/gemma-neogenesis/blob/main/qualitative_evaluation/qualitative_evaluation.html).