diff --git a/src/sagemaker/modules/train/sm_recipes/utils.py b/src/sagemaker/modules/train/sm_recipes/utils.py
index 549645cbe2..6b39add6cd 100644
--- a/src/sagemaker/modules/train/sm_recipes/utils.py
+++ b/src/sagemaker/modules/train/sm_recipes/utils.py
@@ -129,7 +129,7 @@ def _get_trainining_recipe_gpu_model_name_and_script(model_type: str):
     """Get the model base name and script for the training recipe."""
 
     model_type_to_script = {
-        "llama_v3": ("llama", "llama_pretrain.py"),
+        "llama": ("llama", "llama_pretrain.py"),
         "mistral": ("mistral", "mistral_pretrain.py"),
         "mixtral": ("mixtral", "mixtral_pretrain.py"),
         "deepseek": ("deepseek", "deepseek_pretrain.py"),
diff --git a/tests/unit/sagemaker/modules/train/sm_recipes/test_utils.py b/tests/unit/sagemaker/modules/train/sm_recipes/test_utils.py
index f5f7ceb083..585a4d2745 100644
--- a/tests/unit/sagemaker/modules/train/sm_recipes/test_utils.py
+++ b/tests/unit/sagemaker/modules/train/sm_recipes/test_utils.py
@@ -180,36 +180,36 @@ def test_get_args_from_recipe_compute(
             assert mock_trainium_args.call_count == 0
             assert args is None
 
-    @pytest.mark.parametrize(
-        "test_case",
-        [
-            {
-                "model_type": "llama_v3",
-                "script": "llama_pretrain.py",
-                "model_base_name": "llama_v3",
-            },
-            {
-                "model_type": "mistral",
-                "script": "mistral_pretrain.py",
-                "model_base_name": "mistral",
-            },
-            {
-                "model_type": "deepseek_llamav3",
-                "script": "deepseek_pretrain.py",
-                "model_base_name": "deepseek",
-            },
-            {
-                "model_type": "deepseek_qwenv2",
-                "script": "deepseek_pretrain.py",
-                "model_base_name": "deepseek",
-            },
-        ],
-    )
-    def test_get_trainining_recipe_gpu_model_name_and_script(test_case):
-        model_type = test_case["model_type"]
-        script = test_case["script"]
-        model_base_name, script = _get_trainining_recipe_gpu_model_name_and_script(
-            model_type, script
-        )
-        assert model_base_name == test_case["model_base_name"]
-        assert script == test_case["script"]
+
+@pytest.mark.parametrize(
+    "test_case",
+    [
+        {"model_type": "llama_v4", "script": "llama_pretrain.py", "model_base_name": "llama"},
+        {
+            "model_type": "llama_v3",
+            "script": "llama_pretrain.py",
+            "model_base_name": "llama",
+        },
+        {
+            "model_type": "mistral",
+            "script": "mistral_pretrain.py",
+            "model_base_name": "mistral",
+        },
+        {
+            "model_type": "deepseek_llamav3",
+            "script": "deepseek_pretrain.py",
+            "model_base_name": "deepseek",
+        },
+        {
+            "model_type": "deepseek_qwenv2",
+            "script": "deepseek_pretrain.py",
+            "model_base_name": "deepseek",
+        },
+    ],
+)
+def test_get_trainining_recipe_gpu_model_name_and_script(test_case):
+    model_type = test_case["model_type"]
+    script = test_case["script"]
+    model_base_name, script = _get_trainining_recipe_gpu_model_name_and_script(model_type)
+    assert model_base_name == test_case["model_base_name"]
+    assert script == test_case["script"]