LILA: Calibration-Free Structured Pruning of Large Language Models via Latent Spectral Geometry
Extending LILA to dynamically allocate sparsity budgets via KS-scores yields state-of-the-art generative preservation at moderate compression, while uncovering fundamental single-layer architectural bottlenecks at higher compression regimes.
Sankar Behera, Dhruv Singh, Anshika Agnihotri et al.
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