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ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations

Dmitriy Shopkhoev, Ammar Ali, Magauiya Zhussip, Valentin Malykh, Stamatios Lefkimmiatis, Nikos Komodakis, Sergey Zagoruyko

2025-05-06

ReplaceMe: Network Simplification via Layer Pruning and Linear
  Transformations

Summary

This paper talks about ReplaceMe, a new technique for making AI models simpler and faster without needing to retrain them, by removing some of their layers and replacing them with easier math operations.

What's the problem?

Big AI models, like transformers, often have lots of layers that make them slow and use a lot of computer power, which can be a problem for people who want to use them quickly or on less powerful devices.

What's the solution?

The researchers came up with a way to cut out some of the heavy layers and swap them for simpler calculations, all without having to train the model again, so it still works well but runs much faster.

Why it matters?

This matters because it allows more people to use advanced AI models on regular computers or phones, making powerful technology more accessible and efficient.

Abstract

ReplaceMe is a training-free depth pruning method that replaces transformer blocks with linear operations, maintaining performance with minimal computational overhead.