diff --git a/brainscore_vision/models/shufflenet_neuralpca_penalty/__init__.py b/brainscore_vision/models/shufflenet_neuralpca_penalty/__init__.py
new file mode 100644
index 000000000..9f60eb017
--- /dev/null
+++ b/brainscore_vision/models/shufflenet_neuralpca_penalty/__init__.py
@@ -0,0 +1,5 @@
+from brainscore_vision import model_registry
+from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
+from .model import get_model, get_layers
+
+model_registry['shufflenet_neuralpca_penalty'] = lambda: ModelCommitment(identifier='shufflenet_neuralpca_penalty', activations_model=get_model('shufflenet_neuralpca_penalty'), layers=get_layers('shufflenet_neuralpca_penalty'))
diff --git a/brainscore_vision/models/shufflenet_neuralpca_penalty/model.py b/brainscore_vision/models/shufflenet_neuralpca_penalty/model.py
new file mode 100644
index 000000000..94c75cb55
--- /dev/null
+++ b/brainscore_vision/models/shufflenet_neuralpca_penalty/model.py
@@ -0,0 +1,58 @@
+import os
+import torch
+from brainscore_vision.model_helpers.check_submission import check_models
+import functools
+import torchvision.models
+from brainscore_vision.model_helpers.activations.pytorch import PytorchWrapper
+from brainscore_vision.model_helpers.activations.pytorch import load_preprocess_images
+import torch.nn as nn
+from torchvision.models import shufflenet_v2_x1_0
+from urllib.request import urlretrieve
+import gdown
+from torch import Tensor
+
+# This is an example implementation for submitting resnet-50 as a pytorch model
+
+# Attention: It is important, that the wrapper identifier is unique per model!
+# The results will otherwise be the same due to brain-scores internal result caching mechanism.
+# Please load your pytorch model for usage in CPU. There won't be GPUs available for scoring your model.
+# If the model requires a GPU, contact the brain-score team directly.
+
+def load_model():
+    model = shufflenet_v2_x1_0().to('cpu')
+    
+    url = "https://drive.google.com/file/d/1k-ccTqrVKi_xsTjDkZuRiUGqrFvUXbe-/view?usp=sharing"
+    output = "shufflenet_penalized.pt"
+    gdown.download(url, output,fuzzy=True)
+    state = torch.load(output, map_location=torch.device('cpu'))
+    state_dict = state['state_dict']
+    os.remove(output)
+    for key in list(state_dict.keys()):
+        state_dict[key.replace("_orig_mod.shufflenet.", "")] = state_dict.pop(key)
+    model.load_state_dict(state_dict,strict=False)
+    return model
+
+def get_model(name):
+    assert name == 'shufflenet_neuralpca_penalty'
+    model = load_model()
+    preprocessing = functools.partial(load_preprocess_images, image_size=224)
+    wrapper = PytorchWrapper(identifier='shufflenet_neuralpca_penalty', model=model, preprocessing=preprocessing)
+    wrapper.image_size = 224
+    return wrapper
+
+
+def get_layers(name):
+    assert name == 'shufflenet_neuralpca_penalty'
+    return ['conv1', 'stage2', 'stage3', 'stage4', 'conv5', 'fc']
+
+def get_bibtex(model_identifier):
+    return """
+    @misc{shufflenet_neuralpca_penalty,
+    title={Shufflenet with neural predictivity penalty},
+    author={William Qian},
+    year={2025},
+    }
+    """
+
+if __name__ == '__main__':
+    check_models.check_base_models(__name__)
diff --git a/brainscore_vision/models/shufflenet_neuralpca_penalty/region_layer_map/shufflenet_neuralpca_penalty.json b/brainscore_vision/models/shufflenet_neuralpca_penalty/region_layer_map/shufflenet_neuralpca_penalty.json
new file mode 100644
index 000000000..702e8183d
--- /dev/null
+++ b/brainscore_vision/models/shufflenet_neuralpca_penalty/region_layer_map/shufflenet_neuralpca_penalty.json
@@ -0,0 +1 @@
+{"IT": "stage4", "V4": "stage3", "V1": "stage3", "V2": "stage3"}
diff --git a/brainscore_vision/models/shufflenet_neuralpca_penalty/requirements.txt b/brainscore_vision/models/shufflenet_neuralpca_penalty/requirements.txt
new file mode 100644
index 000000000..ddb065853
--- /dev/null
+++ b/brainscore_vision/models/shufflenet_neuralpca_penalty/requirements.txt
@@ -0,0 +1,3 @@
+torch
+torchvision
+gdown
diff --git a/brainscore_vision/models/shufflenet_neuralpca_penalty/test.py b/brainscore_vision/models/shufflenet_neuralpca_penalty/test.py
new file mode 100644
index 000000000..4688061fb
--- /dev/null
+++ b/brainscore_vision/models/shufflenet_neuralpca_penalty/test.py
@@ -0,0 +1,8 @@
+import pytest
+import brainscore_vision
+
+
+@pytest.mark.travis_slow
+def test_has_identifier():
+    model = brainscore_vision.load_model('shufflenet_neuralpca_penalty')
+    assert model.identifier == 'shufflenet_neuralpca_penalty'