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issues. The full algorithm can be summarized in a few steps: The GPTQ algorithm begins with a Cholesky decomposition of the Hessian inverse (a matrix that helps decide how to adjust the weights) It then runs in loops, handling batches of columns at a time. For each column in a batch, it quantizes