The existence of high quality model sets is often a prerequisite for applying AI techniques to modelling. There are public sets of models such as ModelSet that can be used in principle for application. There are also automatic model generators that can synthesize models with specific properties. In order to be useful, models often have to meet certain quality criteria. In this BoF session, relevant quality criteria should be collected to get an overview of the quality models need to have in order to be useful for a given task. Once the quality criteria are defined, tools could be developed to assess the quality of a set of models or to filter out a subset that meets the desired criteria.