[Paper] Mixture-of-Depths Attention

Summary

Large language models (LLMs) often suffer from signal degradation as they become deeper, diluting informative features from shallow layers. Researchers introduce Mixture-of-Depths Attention (MoDA), a mechanism allowing attention heads to access key-value pairs from both the current and preceding layers. This aims to mitigate information loss and enable more effective scaling of LLMs.

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