The Clusteromics I-V sets includes the (SA/FA/MSA/NA) 0-2 (AM/MA/DMA/TMA/EDA) 0-2 clusters, the Kubečka et al. set comprise the sulfuric acid-multi-base (SA) 1-4 (AM/MA/DMA/TMA/EDA) 1-4 clusters and Knattrup et al. set has the multi-acid-muti-base (SA/FA/MSA/NA) 1-4 (MA/DMA/TMA) We find that the AMC-xTB model reduces the mean RMSD of the full Clusteromics set from 0.484 Å to 0.355 Å and a similar reduction is seen for the Knattrup et al. and Kubečka et al. sets with RMSDs being reduced from 0.378 Å to 0.235 Å and from 0.376 Å to 0.189 Å, respectively. This, coupled with the smaller gradients, suggests that the reparameterized model is closer to a minimum at the DFT level. This implies that the preoptimization step in a funneling approach with the AMC-xTB model compared to GFN1-xTB yields structures closer to the DFT structure and will likely reduce the subsequent optimization time at the DFT level.