well, if you know your model id you can simplify things a little bit.
mdl = clearml.Model(model_id)
m_output = mdl.get_local_copy()

Not sure if this is a valid solution, but if you have your docker container already pre-configured with all requirements - you can set the Task to ignore/disregards your DEV requirements. It should look somewhat like this -

` def ignore_task_requirements():
task=Task.current_task()
with task._edit_lock:
task.reload()
script = task.data.script

    pip_req = script.requirements["pip"]
    pip_req_splitted = pip_req.split("\n")
    pip_req_commented = '\n#'....

In our team there is a similar requirement, some scripts requires external dependencies. We have built several Docker images and these can be selected within the script itself by using -
task.set_base_docker("<docker-image>:<tag>")

Docker hub is probably not a bad idea. In my case there were only two workstations so I've copied the Dockerfile and rebuilt the image