diff --git a/keras_hub/src/models/pali_gemma/pali_gemma_backbone.py b/keras_hub/src/models/pali_gemma/pali_gemma_backbone.py
index 6447ca2fc5..6c524dd214 100644
--- a/keras_hub/src/models/pali_gemma/pali_gemma_backbone.py
+++ b/keras_hub/src/models/pali_gemma/pali_gemma_backbone.py
@@ -96,7 +96,7 @@ class PaliGemmaBackbone(Backbone):
     }
 
     # Pretrained PaliGemma decoder.
-    model = keras_hub.models.PaliGemmaBackbone.from_preset("pali_gemma_mix_224")
+    model = keras_hub.models.PaliGemmaBackbone.from_preset("pali_gemma_3b_mix_224")
     model(input_data)
 
     # Randomly initialized PaliGemma decoder with custom config.
diff --git a/keras_hub/src/models/pali_gemma/pali_gemma_presets.py b/keras_hub/src/models/pali_gemma/pali_gemma_presets.py
index ffcf3ecafd..abf4ec0d7c 100644
--- a/keras_hub/src/models/pali_gemma/pali_gemma_presets.py
+++ b/keras_hub/src/models/pali_gemma/pali_gemma_presets.py
@@ -1,5 +1,7 @@
 """PaliGemma model preset configurations."""
 
+import re
+
 # Metadata for loading pretrained model weights.
 backbone_presets = {
     "pali_gemma_3b_mix_224": {
@@ -53,7 +55,7 @@
         "kaggle_handle": "kaggle://keras/paligemma/keras/pali_gemma_3b_896/3",
     },
     # PaliGemma2
-    "pali_gemma2_3b_ft_docci_448": {
+    "pali_gemma2_ft_docci_3b_448": {
         "metadata": {
             "description": (
                 "3 billion parameter, image size 448, 27-layer for "
@@ -66,9 +68,10 @@
             "path": "pali_gemma2",
             "model_card": "https://www.kaggle.com/models/google/paligemma-2",
         },
-        "kaggle_handle": "kaggle://keras/paligemma2/keras/pali_gemma2_3b_ft_docci_448/1",
+        # TODO: Rename `pali_gemma_2_ft_docci_3b_448` to `pali_gemma2_ft_docci_3b_448`
+        "kaggle_handle": "kaggle://keras/paligemma2/keras/pali_gemma_2_ft_docci_3b_448/1",
     },
-    "pali_gemma2_10b_ft_docci_448": {
+    "pali_gemma2_ft_docci_10b_448": {
         "metadata": {
             "description": (
                 "10 billion parameter, 27-layer for SigLIP-So400m vision "
@@ -81,7 +84,7 @@
             "path": "pali_gemma2",
             "model_card": "https://www.kaggle.com/models/google/paligemma-2",
         },
-        "kaggle_handle": "kaggle://keras/paligemma2/keras/pali_gemma2_10b_ft_docci_448/1",
+        "kaggle_handle": "kaggle://keras/paligemma2/keras/pali_gemma2_ft_docci_10b_448/1",
     },
     "pali_gemma2_pt_3b_224": {
         "metadata": {
@@ -219,3 +222,34 @@
         "kaggle_handle": "kaggle://keras/paligemma2/keras/pali_gemma2_pt_28b_896/1",
     },
 }
+
+# Ensure compatibility with the official naming convention.
+# pali_gemma2_[3|10|28b]_[variant]_[image_size]
+compatible_preset_names = []
+for preset_name in backbone_presets.keys():
+    if re.match(r"pali_gemma2_(.+)_(.+)_(.+)_(.+)", preset_name):
+        # Ex: pali_gemma2_ft_docci_3b_448 -> pali_gemma2_3b_ft_docci_448
+        compatible_preset_names.append(
+            (
+                re.sub(
+                    r"pali_gemma2_(.+)_(.+)_(.+)_(.+)",
+                    r"pali_gemma2_\3_\1_\2_\4",
+                    preset_name,
+                ),
+                preset_name,
+            )
+        )
+    elif re.match(r"pali_gemma2_(.+)_(.+)_(.+)", preset_name):
+        # Ex: pali_gemma2_pt_3b_224 -> pali_gemma2_3b_pt_224
+        compatible_preset_names.append(
+            (
+                re.sub(
+                    r"pali_gemma2_(.+)_(.+)_(.+)",
+                    r"pali_gemma2_\2_\1_\3",
+                    preset_name,
+                ),
+                preset_name,
+            )
+        )
+for compatible_preset_name, preset_name in compatible_preset_names:
+    backbone_presets[compatible_preset_name] = backbone_presets[preset_name]