diff --git a/litellm/llms/triton/completion/transformation.py b/litellm/llms/triton/completion/transformation.py
index 21fcf2eefb..0db83b2d3d 100644
--- a/litellm/llms/triton/completion/transformation.py
+++ b/litellm/llms/triton/completion/transformation.py
@@ -201,8 +201,6 @@ class TritonGenerateConfig(TritonConfig):
                 "max_tokens": int(
                     optional_params.get("max_tokens", DEFAULT_MAX_TOKENS_FOR_TRITON)
                 ),
-                "bad_words": [""],
-                "stop_words": [""],
             },
             "stream": bool(stream),
         }
diff --git a/tests/llm_translation/test_triton.py b/tests/llm_translation/test_triton.py
index 7e4ba92f23..8a3bbb4661 100644
--- a/tests/llm_translation/test_triton.py
+++ b/tests/llm_translation/test_triton.py
@@ -20,6 +20,7 @@ from litellm.llms.triton.embedding.transformation import TritonEmbeddingConfig
 import litellm
 
 
+
 def test_split_embedding_by_shape_passes():
     try:
         data = [
@@ -230,3 +231,23 @@ async def test_triton_embeddings():
         assert response.data[0]["embedding"] == [0.1, 0.2]
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
+
+
+
+def test_triton_generate_raw_request():
+    from litellm.utils import return_raw_request
+    from litellm.types.utils import CallTypes
+    try:
+        kwargs = {
+            "model": "triton/llama-3-8b-instruct",
+            "messages": [{"role": "user", "content": "who are u?"}],
+            "api_base": "http://localhost:8000/generate",
+        }
+        raw_request = return_raw_request(endpoint=CallTypes.completion, kwargs=kwargs)
+        print("raw_request", raw_request)
+        assert raw_request is not None
+        assert "bad_words" not in json.dumps(raw_request["raw_request_body"])
+        assert "stop_words" not in json.dumps(raw_request["raw_request_body"])
+    except Exception as e:
+        pytest.fail(f"Error occurred: {e}")
+