We set temperature=0 so the model always favors the most probable token outputs. This results in generations that are more deterministic and focused, exhibiting less randomness or diversity. However, even with temperature=0, the outputs are not entirely deterministic due to the inherent stochasticity of the model's sampling process. The maximum tokens parameter was set to max tokens=1024, which restricts the length of the generated output since we only asked for candidate molecules (represented by relatively compact SMILES)