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README.md

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 This is a [RetNet](https://arxiv.org/abs/2307.08621) model, accompanying the paper [Cross-Architecture Transfer Learning for Linear-Cost Inference Transformers](https://arxiv.org/abs/2404.02684v1), 
 In this work, we proposed to *not* train new Linear-Cost Inference models (e.g. RetNet) from scratch, but to 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-410m). For more detail, please refer to the paper.
+The model's input/output embeddings, MLP weights, Layer Norms, Attention Output Projections ($W_O$) has been transferred from [pythia-410m](https://huggingface.co/EleutherAI/pythia-410m). For more detail, please refer to the paper.
 
 ## Model Details