The confusion here is about what constitutes a “model” - a model source code, model parameters, code to train the model, dataset used to train the model, code used to evaluate the performance of the model? I would probably say that the first two constitute a model. I agree that only the first one (model code) is strictly open source, while the second (model parameters) is not, because it’s not available to everyone.