diff --git a/src/lightning/pytorch/trainer/connectors/callback_connector.py b/src/lightning/pytorch/trainer/connectors/callback_connector.py
index ed8c2b7b5ab53..a0aaafa74b1af 100644
--- a/src/lightning/pytorch/trainer/connectors/callback_connector.py
+++ b/src/lightning/pytorch/trainer/connectors/callback_connector.py
@@ -18,7 +18,7 @@
 from datetime import timedelta
 from typing import Optional, Union
 
-from lightning_utilities import module_available
+from lightning_utilities.core.imports import RequirementCache
 
 import lightning.pytorch as pl
 from lightning.fabric.utilities.registry import _load_external_callbacks
@@ -93,7 +93,7 @@ def _configure_checkpoint_callbacks(self, enable_checkpointing: bool) -> None:
                     " but found `ModelCheckpoint` in callbacks list."
                 )
         elif enable_checkpointing:
-            if module_available("litmodels") and self.trainer._model_registry:
+            if RequirementCache("litmodels >=0.1.7") and self.trainer._model_registry:
                 trainer_source = inspect.getmodule(self.trainer)
                 if trainer_source is None or not isinstance(trainer_source.__package__, str):
                     raise RuntimeError("Unable to determine the source of the trainer.")
@@ -103,11 +103,11 @@ def _configure_checkpoint_callbacks(self, enable_checkpointing: bool) -> None:
                 else:
                     from litmodels.integrations.checkpoints import LightningModelCheckpoint as LitModelCheckpoint
 
-                model_checkpoint = LitModelCheckpoint(model_name=self.trainer._model_registry)
+                model_checkpoint = LitModelCheckpoint(model_registry=self.trainer._model_registry)
             else:
                 rank_zero_info(
                     "You are using the default ModelCheckpoint callback."
-                    " Install `litmodels` package to use the `LitModelCheckpoint` instead"
+                    " Install `pip install litmodels` package to use the `LitModelCheckpoint` instead"
                     " for seamless uploading to the Lightning model registry."
                 )
                 model_checkpoint = ModelCheckpoint()