The first example was a stack of five benzene molecules. We separated the system into five GAS spaces to enable full correlation inside each molecule, but allowed only a limited number of excitations between the fragments. Depending on the distance between the fragments, a different number of interspace excications was necessary to recover the Full CI energy, but already with one interspace excication the error was well below 1 kJ mol -1 for distances of 3 Å or larger. By this application, we show that Stochastic-GAS can easily be tailored towards fragment-based compounds, and thus operate in a mode that is conceptually similar to other techniques, such as NOCI-RCMO and ASD-DMRG. However, while NOCI-RCMO and ASD-DMRG are exclusively tailored towards fragments, GAS can be applied to a wider range of chemical situations. With suitably chosen orbitals and GAS subspaces the new method is practically size-extensive.