diff --git a/tests/e2e/vLLM/test_vllm.py b/tests/e2e/vLLM/test_vllm.py
index 70a6a35e4..d233f5ee1 100644
--- a/tests/e2e/vLLM/test_vllm.py
+++ b/tests/e2e/vLLM/test_vllm.py
@@ -2,12 +2,12 @@
 import re
 import shutil
 from pathlib import Path
-from typing import Callable
 
 import pytest
 import yaml
 from huggingface_hub import HfApi
 from loguru import logger
+from parameterized import parameterized_class
 
 from llmcompressor.core import active_session
 from tests.e2e.e2e_utils import run_oneshot_for_e2e_testing
@@ -34,15 +34,10 @@
 ]
 
 
-@pytest.fixture
-def record_config_file(record_testsuite_property: Callable[[str, object], None]):
-    test_data_file_name = TEST_DATA_FILE.split("configs/")[-1]
-    record_testsuite_property("TEST_DATA_FILE_NAME", test_data_file_name)
-
-
 # Will run each test case in its own process through run_tests.sh
 # emulating vLLM CI testing
 @requires_gpu_count(1)
+@parameterized_class("test_data_file", [(TEST_DATA_FILE,)])
 @pytest.mark.skipif(not vllm_installed, reason="vLLM is not installed, skipping test")
 class TestvLLM:
     """
@@ -62,7 +57,9 @@ class TestvLLM:
     """  # noqa: E501
 
     def set_up(self):
-        eval_config = yaml.safe_load(Path(TEST_DATA_FILE).read_text(encoding="utf-8"))
+        eval_config = yaml.safe_load(
+            Path(self.test_data_file).read_text(encoding="utf-8")
+        )
 
         if os.environ.get("CADENCE", "commit") != eval_config.get("cadence"):
             pytest.skip("Skipping test; cadence mismatch")
@@ -90,7 +87,6 @@ def set_up(self):
         ]
         self.api = HfApi()
 
-    @pytest.mark.usefixtures("record_config_file")
     def test_vllm(self):
         # Run vLLM with saved model
         import torch