GiganticTurtle0 So 🙂 had a short chat with one of our R&D guys. ATM, what you're looking for isn't there. What you can do is use OutputModel().update_weights_package(folder_here) and a folder will be saved with EVERYTHING in it. Now I don't think it would work for you (I assume you want to donwload the model all the time, but artifacts just some times, and don't want to download everything all the time) but it's a hack.
Another option is to use model design field to save links to artifacts.
As for decluttering, why not have a subproject with all the important experiments? This way you don't see it all the time but it's there when you need it.
As for linking artifacts and models. Our idea was to add key:value fields and maybe metrics to models (that way you can query them based on those). But once you add more stuff like artifacts, the information you save on the model is almost like saving the entire experiment and then not sure why not just save the experiments 🙂
Any thoughts on these?