diff --git a/src/documentation/elo_qa_eval.ipynb b/src/documentation/elo_qa_eval.ipynb
index ef2b2c55..4b71af6f 100644
--- a/src/documentation/elo_qa_eval.ipynb
+++ b/src/documentation/elo_qa_eval.ipynb
@@ -448,7 +448,7 @@
    "outputs": [],
    "source": [
     "newly_added_models = [\n",
-    "    Llama3InstructModel(name=\"llama-3.1-70b-instruct\", client=aa_client),\n",
+    "    Llama3InstructModel(name=\"llama-3.3-70b-instruct\", client=aa_client),\n",
     "]\n",
     "\n",
     "for model in newly_added_models:\n",
diff --git a/src/intelligence_layer/core/model.py b/src/intelligence_layer/core/model.py
index 3c691808..c1612174 100644
--- a/src/intelligence_layer/core/model.py
+++ b/src/intelligence_layer/core/model.py
@@ -261,7 +261,7 @@ def __init__(
         )
         if name not in [model["name"] for model in self._client.models()]:
             warnings.warn(
-                "The provided model is not a recommended model for this model class."
+                "The provided model is not a recommended model for this model class. "
                 "Make sure that the model you have selected is suited to be use for the prompt template used in this model class."
             )
         self._complete: Task[CompleteInput, CompleteOutput] = _Complete(
@@ -414,7 +414,7 @@ def __init__(
     ) -> None:
         if name not in self.RECOMMENDED_MODELS or name == "":
             warnings.warn(
-                "The provided model is not a recommended model for this model class."
+                "The provided model is not a recommended model for this model class. "
                 "Make sure that the model you have selected is suited to be use for the prompt template used in this model class."
             )
         super().__init__(name, client)