Symbol W
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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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Equation 17 · Edge AI & Electronics
How a Model Actually Gets Small Enough to Run on a Phone
This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.
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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