diff --git a/src/lightning/fabric/fabric.py b/src/lightning/fabric/fabric.py
index 2b4e05c73c..6e76a92f7c 100644
--- a/src/lightning/fabric/fabric.py
+++ b/src/lightning/fabric/fabric.py
@@ -835,7 +835,7 @@ class Fabric:
         if isinstance(self._strategy, FSDPStrategy) and not _TORCH_GREATER_EQUAL_2_0:
             raise RuntimeError(
                 f"The `{type(self).__name__}` requires the model and optimizer(s) to be set up separately."
-                " Create and set up the model first through `model = self.setup_model(model)`. Then create the"
+                " Create and set up the model first through `model = self.setup_module(model)`. Then create the"
                 " optimizer and set it up: `optimizer = self.setup_optimizer(optimizer)`."
             )
 
diff --git a/tests/tests_fabric/plugins/precision/test_amp_integration.py b/tests/tests_fabric/plugins/precision/test_amp_integration.py
index 70025428fd..d3fb995348 100644
--- a/tests/tests_fabric/plugins/precision/test_amp_integration.py
+++ b/tests/tests_fabric/plugins/precision/test_amp_integration.py
@@ -78,7 +78,7 @@ def test_amp_fused_optimizer_parity():
         seed_everything(1234)
         fabric = Fabric(accelerator="cuda", precision=16, devices=1)
 
-        model = nn.Linear(10, 10).to(fabric.device)  # TODO: replace with individual setup_model call
+        model = nn.Linear(10, 10).to(fabric.device)  # TODO: replace with individual setup_module call
         optimizer = torch.optim.Adam(model.parameters(), lr=1.0, fused=fused)
 
         model, optimizer = fabric.setup(model, optimizer)