Based on earlier benchmark studies, the OpenFF initiative initially chose B3LYP-D3(BJ) /DZVP as the method for generating QM training data to train OpenFF force fields, with the expectation that this choice might need to be revisited at a later date. Such a 'revisit' is our focus here. The prior benchmarks 2 included assessing accuracy of conformer energetics on the MPCONF196 set, 46 which is a dataset of conformers of smaller peptides and mediumsized macrocycles, that were all neutral, and of relative energies of torsional profiles on a curated set of 15 one-dimensional torsion scans. A good compromise between accuracy and cost on MPCONF196 and the smaller set of torsion scans led to the choice of the B3LYP-D3(BJ) functional along with Salahub's double-zeta split-valence + polarization (DZVP) basis set for building OpenFF force fields.