We test this approach by performing multi-fidelity LJ optimization for 12 LJ parameters from the OpenFF 1.0.0 (Parsley) force field. In training, we use a set of 56 pure compound physical properties curated in a previous paper . We also benchmark the results against test sets curated in the same paper; while newer versions of OpenFF exist, using OpenFF 1.0.0 allows a direct comparison to the results of our previous optimization. With this optimization problem, we characterize the optimization method, discussing reproducibility, seed configurations, and optimization trajectories. We also show that this method can be extended to larger problems, by applying it to a larger training set of 195 mixture properties from the same paper.