diff --git a/keras_nlp/models/gemma/gemma_presets.py b/keras_nlp/models/gemma/gemma_presets.py
index 62d57344c2..a65a6da43a 100644
--- a/keras_nlp/models/gemma/gemma_presets.py
+++ b/keras_nlp/models/gemma/gemma_presets.py
@@ -48,7 +48,21 @@
             "path": "gemma",
             "model_card": "https://www.kaggle.com/models/google/gemma",
         },
-        "kaggle_handle": "kaggle://keras/gemma/keras/gemma_1.1_instruct_2b_en/1",
+        "kaggle_handle": "kaggle://keras/gemma/keras/gemma_1.1_instruct_2b_en/3",
+    },
+    "code_gemma_2b_en": {
+        "metadata": {
+            "description": (
+                "2 billion parameter, 18-layer, CodeGemma model. This model "
+                "has been trained on a fill-in-the-middle (FIM) task for code "
+                "completion."
+            ),
+            "params": 2506172416,
+            "official_name": "Gemma",
+            "path": "gemma",
+            "model_card": "https://www.kaggle.com/models/google/gemma",
+        },
+        "kaggle_handle": "kaggle://keras/codegemma/keras/code_gemma_2b_en/1",
     },
     "gemma_7b_en": {
         "metadata": {
@@ -83,6 +97,34 @@
             "path": "gemma",
             "model_card": "https://www.kaggle.com/models/google/gemma",
         },
-        "kaggle_handle": "kaggle://keras/gemma/keras/gemma_1.1_instruct_7b_en/1",
+        "kaggle_handle": "kaggle://keras/gemma/keras/gemma_1.1_instruct_7b_en/3",
+    },
+    "code_gemma_7b_en": {
+        "metadata": {
+            "description": (
+                "7 billion parameter, 28-layer, CodeGemma model. This model "
+                "has been trained on a fill-in-the-middle (FIM) task for code "
+                "completion."
+            ),
+            "params": 8537680896,
+            "official_name": "Gemma",
+            "path": "gemma",
+            "model_card": "https://www.kaggle.com/models/google/gemma",
+        },
+        "kaggle_handle": "kaggle://keras/codegemma/keras/code_gemma_7b_en/1",
+    },
+    "code_gemma_instruct_7b_en": {
+        "metadata": {
+            "description": (
+                "7 billion parameter, 28-layer, instruction tuned CodeGemma "
+                "model. This model has been trained for chat use cases related "
+                "to code."
+            ),
+            "params": 8537680896,
+            "official_name": "Gemma",
+            "path": "gemma",
+            "model_card": "https://www.kaggle.com/models/google/gemma",
+        },
+        "kaggle_handle": "kaggle://keras/codegemma/keras/code_gemma_instruct_7b_en/1",
     },
 }