Equation 17 · Part 1 · How a Model Actually Gets Small Enough to Run on a Phone
Symbol W
What this part means
W is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Its job in the formula
W is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Full expression→Symbol W→Article meaning
The passage around this formula
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:
Learn the underlying idea
A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.
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Sources cited in the article section
- [5] SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot ↗
- [6] A Simple and Effective Pruning Approach for Large Language Models ↗
These citations provide research context; check each source for the exact claim it supports.