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Equation 16 · Part 1 · How a Model Actually Gets Small Enough to Run on a Phone

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XX
XX

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SparseGPT poses pruning as a per-layer reconstruction problem. For a layer with weight matrix W and a small calibration set of activations X , it looks for a sparse replacement W' that keeps that layer’s output as close as possible to the original:

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