Hey 🙂 I had a similar issue today and found this solution:

In my case this codebase was using a .pt filetype which was being picked up and logged as a model even though it was not.

import os
from clearml import Task
from clearml.binding.frameworks import WeightsFileHandler

task = Task.init(
    project_name="task_project",
    task_name="task_name",
    task_type=Task.TaskTypes.training,
)


def filter_out_pt_files(operation_type, model_info):
    is_pt_file = os.path.splitext(model_info.local_model_path)[-1] == ".pt"
    if is_pt_file:
        return None

    return model_info


WeightsFileHandler.add_pre_callback(filter_out_pt_files)

...