GPTQ-2D: Cubic-Time Two-Sided Adaptive Rounding

Jiale Chen, Torsten Hoefler, Dan Alistarh

GPTQ-2D: Cubic-Time Two-Sided Adaptive Rounding: 11 upvotes on Hugging Face Daily Papers, #18 of 40 papers on 2026-08-04. Day-by-day upvote history. It lost 12 votes when the Hub removed votes in bulk.

Adaptive rounding methods such as GPTQ, or equivalently Babai's nearest plane algorithm, round a real matrix to integers under a quadratic metric. They process the entries in a fixed order, one at a time, propagating each rounding error to the entries not yet processed through a triangular feedback matrix. We study the two-sided version of this task, in which fixed nonsingular basis matrices act on both the left and the right of the residual; the familiar one-sided case is the special case of an identity right basis. Vectorizing the matrix turns the two-sided objective into a quadratic metric whose Gram matrix is a Kronecker product, so the one-dimensional algorithm applies verbatim, but takes quartic time in the matrix dimension. We present GPTQ-2D, which produces the identical rounded matrix in cubic time. It rounds the entries anti-diagonal by anti-diagonal; entries on the same anti-diagonal are independent and are rounded in parallel.

Paper page on Hugging Face · arXiv

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