diff --git a/tests/test_modelscan.py b/tests/test_modelscan.py
index 18d2418..1900bad 100644
--- a/tests/test_modelscan.py
+++ b/tests/test_modelscan.py
@@ -173,20 +173,20 @@ def pytorch_file_path(tmp_path_factory: Any) -> Any:
     initialize_data_file(f"{tmp}/bad_pytorch.pt", b"\211PNG\r\n\032\n")
 
     # Safe PyTorch files in old and new (zip) formats
-    model = PyTorchTestModel()
+    pt = PyTorchTestModel()
     torch.save(
-        model.state_dict(),
+        pt.model.state_dict(),
         f=f"{tmp}/safe_zip_pytorch.pt",
         _use_new_zipfile_serialization=True,
     )
     torch.save(
-        model.state_dict(),
+        pt.model.state_dict(),
         f=f"{tmp}/safe_old_format_pytorch.pt",
         _use_new_zipfile_serialization=False,
     )
 
     # Unsafe PyTorch files in new (zip) format
-    model.generate_unsafe_pytorch_file(
+    pt.generate_unsafe_pytorch_file(
         unsafe_file_path=f"{tmp}/unsafe_zip_pytorch.pt",
         model_path=f"{tmp}/safe_zip_pytorch.pt",
         zipfile=True,
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 8a836d4..4bc4100 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -238,22 +238,9 @@ def generate_dill_unsafe_file(
     file_for_unsafe_model.close()
 
 
-class PyTorchTestModel(nn.Module):  # type: ignore[misc]
+class PyTorchTestModel:
     def __init__(self) -> None:
-        super().__init__()
-        self.flatten = nn.Flatten()
-        self.linear_relu_stack = nn.Sequential(
-            nn.Linear(28 * 28, 512),
-            nn.ReLU(),
-            nn.Linear(512, 512),
-            nn.ReLU(),
-            nn.Linear(512, 10),
-        )
-
-    def forward(self, x: Any) -> Any:
-        x = self.flatten(x)
-        logits = self.linear_relu_stack(x)
-        return logits
+        self.model = nn.Module()
 
     def generate_unsafe_pytorch_file(
         self, unsafe_file_path: str, model_path: str, zipfile: bool = True