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 615cc6c5ec..7426d3d49c 100644
--- a/keras_hub/src/models/pali_gemma/pali_gemma_presets.py
+++ b/keras_hub/src/models/pali_gemma/pali_gemma_presets.py
@@ -83,6 +83,96 @@
         },
         "kaggle_handle": "kaggle://keras/paligemma2/keras/pali_gemma2_ft_docci_10b_448/2",
     },
+    "pali_gemma2_mix_3b_224": {
+        "metadata": {
+            "description": (
+                "3 billion parameter, image size 224, 27-layer for "
+                "SigLIP-So400m vision encoder and 26-layer Gemma2 2B lanuage "
+                "model. This model has been fine-tuned on a wide range of "
+                "vision-language tasks and domains."
+            ),
+            "params": 3032094960,
+            "official_name": "PaliGemma2",
+            "path": "pali_gemma2",
+            "model_card": "https://www.kaggle.com/models/google/paligemma-2",
+        },
+        "kaggle_handle": "kaggle://keras/paligemma2/keras/pali_gemma2_mix_3b_224/2",
+    },
+    "pali_gemma2_mix_3b_448": {
+        "metadata": {
+            "description": (
+                "3 billion parameter, image size 448, 27-layer for "
+                "SigLIP-So400m vision encoder and 26-layer Gemma2 2B lanuage "
+                "model. This model has been fine-tuned on a wide range of "
+                "vision-language tasks and domains."
+            ),
+            "params": 3032979696,
+            "official_name": "PaliGemma2",
+            "path": "pali_gemma2",
+            "model_card": "https://www.kaggle.com/models/google/paligemma-2",
+        },
+        "kaggle_handle": "kaggle://keras/paligemma2/keras/pali_gemma2_mix_3b_448/2",
+    },
+    "pali_gemma2_mix_10b_224": {
+        "metadata": {
+            "description": (
+                "10 billion parameter, image size 224, 27-layer for "
+                "SigLIP-So400m vision encoder and 42-layer Gemma2 9B lanuage "
+                "model. This model has been fine-tuned on a wide range of "
+                "vision-language tasks and domains."
+            ),
+            "params": 9662409456,
+            "official_name": "PaliGemma2",
+            "path": "pali_gemma2",
+            "model_card": "https://www.kaggle.com/models/google/paligemma-2",
+        },
+        "kaggle_handle": "kaggle://keras/paligemma2/keras/pali_gemma2_mix_10b_224/2",
+    },
+    "pali_gemma2_mix_10b_448": {
+        "metadata": {
+            "description": (
+                "10 billion parameter, image size 448, 27-layer for "
+                "SigLIP-So400m vision encoder and 42-layer Gemma2 9B lanuage "
+                "model. This model has been fine-tuned on a wide range of "
+                "vision-language tasks and domains."
+            ),
+            "params": 9663294192,
+            "official_name": "PaliGemma2",
+            "path": "pali_gemma2",
+            "model_card": "https://www.kaggle.com/models/google/paligemma-2",
+        },
+        "kaggle_handle": "kaggle://keras/paligemma2/keras/pali_gemma2_mix_10b_448/2",
+    },
+    "pali_gemma2_mix_28b_224": {
+        "metadata": {
+            "description": (
+                "28 billion parameter, image size 224, 27-layer for "
+                "SigLIP-So400m vision encoder and 46-layer Gemma2 27B lanuage "
+                "model. This model has been fine-tuned on a wide range of "
+                "vision-language tasks and domains."
+            ),
+            "params": 27650192112,
+            "official_name": "PaliGemma2",
+            "path": "pali_gemma2",
+            "model_card": "https://www.kaggle.com/models/google/paligemma-2",
+        },
+        "kaggle_handle": "kaggle://keras/paligemma2/keras/pali_gemma2_28b_mix_224/2",
+    },
+    "pali_gemma2_mix_28b_448": {
+        "metadata": {
+            "description": (
+                "28 billion parameter, image size 448, 27-layer for "
+                "SigLIP-So400m vision encoder and 46-layer Gemma2 27B lanuage "
+                "model. This model has been fine-tuned on a wide range of "
+                "vision-language tasks and domains."
+            ),
+            "params": 27650192112,
+            "official_name": "PaliGemma2",
+            "path": "pali_gemma2",
+            "model_card": "https://www.kaggle.com/models/google/paligemma-2",
+        },
+        "kaggle_handle": "kaggle://keras/paligemma2/keras/pali_gemma2_28b_mix_448/2",
+    },
     "pali_gemma2_pt_3b_224": {
         "metadata": {
             "description": (
@@ -181,7 +271,7 @@
                 "model. This model has been pre-trained on a mixture of "
                 "datasets."
             ),
-            "params": 9662409456,
+            "params": 27650192112,
             "official_name": "PaliGemma2",
             "path": "pali_gemma2",
             "model_card": "https://www.kaggle.com/models/google/paligemma-2",
@@ -196,7 +286,7 @@
                 "model. This model has been pre-trained on a mixture of "
                 "datasets."
             ),
-            "params": 9663294192,
+            "params": 27650192112,
             "official_name": "PaliGemma2",
             "path": "pali_gemma2",
             "model_card": "https://www.kaggle.com/models/google/paligemma-2",
@@ -211,7 +301,7 @@
                 "model. This model has been pre-trained on a mixture of "
                 "datasets."
             ),
-            "params": 9666833136,
+            "params": 27650192112,
             "official_name": "PaliGemma2",
             "path": "pali_gemma2",
             "model_card": "https://www.kaggle.com/models/google/paligemma-2",
diff --git a/tools/checkpoint_conversion/convert_pali_gemma2_checkpoints.py b/tools/checkpoint_conversion/convert_pali_gemma2_checkpoints.py
index cf8beb1902..23bda97b72 100644
--- a/tools/checkpoint_conversion/convert_pali_gemma2_checkpoints.py
+++ b/tools/checkpoint_conversion/convert_pali_gemma2_checkpoints.py
@@ -69,6 +69,12 @@
     "pali_gemma2_10b_ft_docci_448": (
         "google/paligemma-2/jax/paligemma2-10b-ft-docci-448"
     ),
+    "pali_gemma2_3b_mix_224": "google/paligemma-2/jax/paligemma2-3b-mix-224",
+    "pali_gemma2_3b_mix_448": "google/paligemma-2/jax/paligemma2-3b-mix-448",
+    "pali_gemma2_10b_mix_224": "google/paligemma-2/jax/paligemma2-10b-mix-224",
+    "pali_gemma2_10b_mix_448": "google/paligemma-2/jax/paligemma2-10b-mix-448",
+    "pali_gemma2_28b_mix_224": "google/paligemma-2/jax/paligemma2-28b-mix-224",
+    "pali_gemma2_28b_mix_448": "google/paligemma-2/jax/paligemma2-28b-mix-448",
     "pali_gemma2_3b_pt_224": "google/paligemma-2/jax/paligemma2-3b-pt-224",
     "pali_gemma2_3b_pt_448": "google/paligemma-2/jax/paligemma2-3b-pt-448",
     "pali_gemma2_3b_pt_896": "google/paligemma-2/jax/paligemma2-3b-pt-896",