A representation capacity derived from Gaussian fitting error predicts the training efficiency of sparse, quantized, and hybrid compressed models, and this capacity approximately multiplies across combined compression types.
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Unified Scaling Laws for Compressed Representations
A representation capacity derived from Gaussian fitting error predicts the training efficiency of sparse, quantized, and hybrid compressed models, and this capacity approximately multiplies across combined compression types.