diff --git a/keras_hub/src/models/mobilenetv5/__init__.py b/keras_hub/src/models/mobilenetv5/__init__.py
index e69de29bb2..ec3258b678 100644
--- a/keras_hub/src/models/mobilenetv5/__init__.py
+++ b/keras_hub/src/models/mobilenetv5/__init__.py
@@ -0,0 +1,9 @@
+from keras_hub.src.models.mobilenetv5.mobilenetv5_backbone import (
+    MobileNetV5Backbone,
+)
+from keras_hub.src.models.mobilenetv5.mobilenetv5_presets import (
+    backbone_presets,
+)
+from keras_hub.src.utils.preset_utils import register_presets
+
+register_presets(backbone_presets, MobileNetV5Backbone)
diff --git a/keras_hub/src/models/mobilenetv5/mobilenetv5_backbone_test.py b/keras_hub/src/models/mobilenetv5/mobilenetv5_backbone_test.py
index 0bb4308d15..cf0b56e8e7 100644
--- a/keras_hub/src/models/mobilenetv5/mobilenetv5_backbone_test.py
+++ b/keras_hub/src/models/mobilenetv5/mobilenetv5_backbone_test.py
@@ -47,11 +47,10 @@ def test_backbone_basics(self):
         )
 
     @pytest.mark.large
-    @pytest.mark.skip(reason="TODO: Enable once presets have been uploaded.")
     def test_smallest_preset(self):
         self.run_preset_test(
             cls=MobileNetV5Backbone,
-            preset="mobilenetv5_300m_enc.gemma3n",
+            preset="mobilenetv5_300m_enc_gemma3n",
             input_data=keras.ops.ones((1, 224, 224, 3)),
             expected_output_shape=(1, 16, 16, 2048),
         )
diff --git a/keras_hub/src/models/mobilenetv5/mobilenetv5_presets.py b/keras_hub/src/models/mobilenetv5/mobilenetv5_presets.py
new file mode 100644
index 0000000000..634a5bbe15
--- /dev/null
+++ b/keras_hub/src/models/mobilenetv5/mobilenetv5_presets.py
@@ -0,0 +1,15 @@
+"""MobileNetV5 preset configurations."""
+
+backbone_presets = {
+    "mobilenetv5_300m_enc_gemma3n": {
+        "metadata": {
+            "description": (
+                "Lightweight 300M-parameter convolutional vision encoder used "
+                "as the image backbone for Gemma 3n"
+            ),
+            "params": 294_284_096,
+            "path": "mobilenetv5",
+        },
+        "kaggle_handle": "kaggle://keras/mobilenetv5/keras/mobilenetv5_300m_enc_gemma3n/1",
+    }
+}
diff --git a/tools/checkpoint_conversion/convert_mobilenetv5_checkpoints.py b/tools/checkpoint_conversion/convert_mobilenetv5_checkpoints.py
index 1466d594e0..a0ae295c1a 100644
--- a/tools/checkpoint_conversion/convert_mobilenetv5_checkpoints.py
+++ b/tools/checkpoint_conversion/convert_mobilenetv5_checkpoints.py
@@ -37,7 +37,7 @@
 from keras_hub.src.models.mobilenetv5.mobilenetv5_layers import RmsNorm2d
 
 PRESET_MAP = {
-    "mobilenetv5_300m_enc.gemma3n": {
+    "mobilenetv5_300m_enc_gemma3n": {
         "arch": "mobilenetv5_300m_enc",
         "hf_hub_id": "timm/mobilenetv5_300m.gemma3n",
     }