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transformer-matching refinement

technology1 mentionslast seen Oct 9, 2026

A refinement step that jointly optimizes sparse and low-rank components across transformer layers using a memory-efficient loss.

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transformer-matching refinement

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3BASiLdepends ontransformer-matching refinement

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preprintarXivOct 8, 20263BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs
3BASiL-TM, an efficient one-shot post-training method for (S + LR) decomposition of LLMs that addresses this gap. Our approach first introduces a novel 3-Block Alternating Direction Method of Multipliers (ADMM) method, termed 3BASiL, to minimize the layer-wise reconstruction error with convergence guarantees. We then design an efficient transformer-matching (TM) refinement step