Update README.md

README.md

@@ -12,7 +12,7 @@ This is a hybrid architecture between self-attention based Transformer and [RetN
 
 This is the model weight accompanying the paper [Cross-Architecture Transfer Learning for Linear-Cost Inference Transformers](https://arxiv.org/abs/2404.02684v1), 
 in which new Linear-Cost Inference models (e.g. RetNet) are not trained from scratch but transfer shared weight components from other PTLMs. 
-The model's input/output embeddings, MLP weights, Layer Norms, Attention Output Projections ($W_O$) has been transferred from [pythia-1B](https://huggingface.co/EleutherAI/pythia-1b). For more detail, please refer to the paper.
+The model's input/output embeddings, MLP weights, & Layer Norms has been transferred from [pythia-1B](https://huggingface.co/EleutherAI/pythia-1b). For more detail, please refer to the paper.
 
 
 ## Model Details