load_optimum_pipe cannot load meta information

[SereDef]

I am running into this error with photonai version 2.5.0

>>> fmodel = Hyperpipe.load_optimum_pipe(best_model_file)
Could not load meta information for optimum pipe
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/brain_age_venv3/lib/python3.9/site-packages/photonai/base/hyperpipe.py", line 1482, in load_optimum_pipe
    return PhotonModelPersistor.load_optimum_pipe(file, password)
  File "/home/brain_age_venv3/lib/python3.9/site-packages/photonai/base/hyperpipe.py", line 1714, in load_optimum_pipe
    element_list = PhotonModelPersistor.load_elements(folder=load_folder)
  File "/home/brain_age_venv3/lib/python3.9/site-packages/photonai/base/hyperpipe.py", line 1634, in load_elements
    with open(os.path.join(folder, BLUEPRINT_FILE), 'rb') as f:
FileNotFoundError: [Errno 2] No such file or directory: '/home/ENIGMAmodels/ENIGMA_MDD_females/_optimum_pipe_blueprint.pkl'

The file does exist however

>>> from pathlib import Path
>>> Path(best_model_file).exists()
True

Pyhton version = 3.9.2. Here is a snapshot of my environment:

Package             Version
------------------- -----------
click               8.1.7
cloudpickle         3.1.0
contourpy           1.3.0
cycler              0.12.1
dask                2024.8.0
distributed         2024.8.0
fonttools           4.55.2
fsspec              2024.10.0
imbalanced-learn    0.12.4
importlib_metadata  8.5.0
importlib_resources 6.4.5
Jinja2              3.1.4
joblib              1.4.2
kiwisolver          1.4.7
locket              1.0.0
MarkupSafe          3.0.2
matplotlib          3.9.3
msgpack             1.1.0
numpy               2.0.2
packaging           24.2
pandas              2.2.3
partd               1.4.2
patsy               1.0.1
pbr                 6.1.0
photonai            2.5.0
pillow              11.0.0
pip                 24.3.1
plotly              5.24.1
prettytable         3.12.0
psutil              6.1.0
pyaml               24.9.0
pymodm              0.4.3
pymongo             3.13.0
pyparsing           3.2.0
python-dateutil     2.9.0.post0
pytz                2024.2
PyYAML              6.0.2
scikit-learn        1.5.2
scikit-optimize     0.10.2
scipy               1.13.1
seaborn             0.13.2
setuptools          49.2.1
six                 1.17.0
sortedcontainers    2.4.0
statsmodels         0.14.4
tblib               3.0.0
tenacity            9.0.0
threadpoolctl       3.5.0
toolz               1.0.0
tornado             6.4.2
tzdata              2024.2
urllib3             2.2.3
wcwidth             0.2.13
xlrd                2.0.1
zict                3.0.0
zipp                3.21.0

Also, I am using a Linux 8.6 (Ootpa) if that helps :)