diff --git a/brainscore_vision/models/resnext101_32x48d_wsl/__init__.py b/brainscore_vision/models/resnext101_32x48d_wsl/__init__.py
index e566d9ea2..1b94e26b3 100644
--- a/brainscore_vision/models/resnext101_32x48d_wsl/__init__.py
+++ b/brainscore_vision/models/resnext101_32x48d_wsl/__init__.py
@@ -2,6 +2,6 @@
 from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
 from .model import get_model, get_layers
 
-model_registry['resnext101_32x48d_wsl'] = lambda: ModelCommitment(identifier='resnext101_32x48d_wsl',
-                                                               activations_model=get_model('resnext101_32x48d_wsl'),
-                                                               layers=get_layers('resnext101_32x48d_wsl'))
\ No newline at end of file
+model_registry['resnext101_32x48d_wsl_TEST'] = lambda: ModelCommitment(identifier='resnext101_32x48d_wsl_TEST',
+                                                               activations_model=get_model('resnext101_32x48d_wsl_TEST'),
+                                                               layers=get_layers('resnext101_32x48d_wsl_TEST'))
\ No newline at end of file
diff --git a/brainscore_vision/models/resnext101_32x48d_wsl/model.py b/brainscore_vision/models/resnext101_32x48d_wsl/model.py
index b3e08272b..2868433da 100644
--- a/brainscore_vision/models/resnext101_32x48d_wsl/model.py
+++ b/brainscore_vision/models/resnext101_32x48d_wsl/model.py
@@ -10,8 +10,8 @@
 
 
 def get_model(name):
-    assert name == 'resnext101_32x48d_wsl'
-    model_identifier = "resnext101_32x48d_wsl"
+    assert name == 'resnext101_32x48d_wsl_TEST'
+    model_identifier = "resnext101_32x48d_wsl_TEST"
     model = torch.hub.load('facebookresearch/WSL-Images', model_identifier)
     preprocessing = functools.partial(load_preprocess_images, image_size=224)
     batch_size = {8: 32, 16: 16, 32: 8, 48: 4}
@@ -22,7 +22,7 @@ def get_model(name):
 
 
 def get_layers(name):
-    assert name == 'resnext101_32x48d_wsl'
+    assert name == 'resnext101_32x48d_wsl_TEST'
     return (['conv1'] +
             # note that while relu is used multiple times, by default the last one will overwrite all previous ones
             [f"layer{block + 1}.{unit}.relu"
diff --git a/brainscore_vision/models/resnext101_32x48d_wsl/requirements.txt b/brainscore_vision/models/resnext101_32x48d_wsl/requirements.txt
index 5cad17cdd..a56666d38 100644
--- a/brainscore_vision/models/resnext101_32x48d_wsl/requirements.txt
+++ b/brainscore_vision/models/resnext101_32x48d_wsl/requirements.txt
@@ -1,3 +1,2 @@
 torchvision
-torch
 torch
\ No newline at end of file
diff --git a/brainscore_vision/models/resnext101_32x48d_wsl/test.py b/brainscore_vision/models/resnext101_32x48d_wsl/test.py
index 8e223f69f..457f33a63 100644
--- a/brainscore_vision/models/resnext101_32x48d_wsl/test.py
+++ b/brainscore_vision/models/resnext101_32x48d_wsl/test.py
@@ -4,5 +4,5 @@
 
 @pytest.mark.travis_slow
 def test_has_identifier():
-    model = brainscore_vision.load_model('resnext101_32x48d_wsl')
-    assert model.identifier == 'resnext101_32x48d_wsl'
\ No newline at end of file
+    model = brainscore_vision.load_model('resnext101_32x48d_wsl_TEST')
+    assert model.identifier == 'resnext101_32x48d_wsl_TEST'
\ No newline at end of file