Currently, we have integrated the ANI series (ANI-1x, ANI-1ccx, and ANI-2x ) and the MACE series 29 (MACE-OFF23(S), MACE-OFF23(M), MACE-OFF23(L)) MLIPs into SANDER. Our ML/MM implementation mirrors the mechanical embedding approach used in QM/MM frameworks. Users specify the atomic ML region, with the remaining atoms being in the MM region. This integrated approach enables the ML/MM module to augment traditional MD simulations with machine learning capabilities while maintaining compatibility with the Amber 2023 SANDER framework.