diff --git a/brainscore_vision/models/convnext_base_fb_in1k/__init__.py b/brainscore_vision/models/convnext_base_fb_in1k/__init__.py
new file mode 100644
index 000000000..f938c7d8f
--- /dev/null
+++ b/brainscore_vision/models/convnext_base_fb_in1k/__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['convnext_base_fb_in1k'] = lambda: ModelCommitment(identifier='convnext_base_fb_in1k', activations_model=get_model('convnext_base_fb_in1k'), layers=get_layers('convnext_base_fb_in1k'))
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diff --git a/brainscore_vision/models/convnext_base_fb_in1k/model.py b/brainscore_vision/models/convnext_base_fb_in1k/model.py
new file mode 100644
index 000000000..e4848eb4f
--- /dev/null
+++ b/brainscore_vision/models/convnext_base_fb_in1k/model.py
@@ -0,0 +1,39 @@
+
+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 timm
+
+# 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 get_model(name):
+    assert name == 'convnext_base_fb_in1k'
+    
+    model = timm.create_model('convnext_base.fb_in1k',pretrained=True) 
+    #,# features_only=True,
+    preprocessing = functools.partial(load_preprocess_images, image_size=224)
+    wrapper = PytorchWrapper(identifier='convnext_base_fb_in1k', model=model, preprocessing=preprocessing)
+    wrapper.image_size = 224
+    return wrapper
+
+
+def get_layers(name):
+    assert name == 'convnext_base_fb_in1k'
+    return ['stem', 'stages.0', 'stages.1', 'stages.2', 'stages.3', 'head']
+
+
+def get_bibtex(model_identifier):
+    return """"""
+
+
+if __name__ == '__main__':
+    check_models.check_base_models(__name__)
+
diff --git a/brainscore_vision/models/convnext_base_fb_in1k/region_layer_map/convnext_base_fb_in1k.json b/brainscore_vision/models/convnext_base_fb_in1k/region_layer_map/convnext_base_fb_in1k.json
new file mode 100644
index 000000000..df96cfe8b
--- /dev/null
+++ b/brainscore_vision/models/convnext_base_fb_in1k/region_layer_map/convnext_base_fb_in1k.json
@@ -0,0 +1,6 @@
+{
+    "V1": "stages.3",
+    "V2": "stages.0",
+    "V4": "stages.0",
+    "IT": "stages.3"
+}
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diff --git a/brainscore_vision/models/convnext_base_fb_in1k/requirements.txt b/brainscore_vision/models/convnext_base_fb_in1k/requirements.txt
new file mode 100644
index 000000000..2deaa4e14
--- /dev/null
+++ b/brainscore_vision/models/convnext_base_fb_in1k/requirements.txt
@@ -0,0 +1,3 @@
+torch
+torchvision
+timm
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diff --git a/brainscore_vision/models/convnext_base_fb_in1k/test.py b/brainscore_vision/models/convnext_base_fb_in1k/test.py
new file mode 100644
index 000000000..75e52e065
--- /dev/null
+++ b/brainscore_vision/models/convnext_base_fb_in1k/test.py
@@ -0,0 +1,8 @@
+import pytest
+import brainscore_vision
+
+
+@pytest.mark.travis_slow
+def test_has_identifier():
+    model = brainscore_vision.load_model('convnext_base_fb_in1k')
+    assert model.identifier == 'convnext_base_fb_in1k'
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