Hi AnxiousSeal95 !
That's it. My idea is that artifacts can be linked to the model. Typically these artifacts are often links to serialized objects (such as datasets or scalers). They are usually directories or temporary files in mount units that I want to be loaded as artifacts of the task, removed (as they are temporary) and later I can get a new local path via task.artifacts["scalers"].get_local_copy() . I think this way the model's dependence on the task that created it could be removed, so that objects associated with the model could be encapsulated inside it