diff --git a/tests/e2e/vLLM/test_vllm.py b/tests/e2e/vLLM/test_vllm.py
index f352a6772..bfd75afab 100644
--- a/tests/e2e/vLLM/test_vllm.py
+++ b/tests/e2e/vLLM/test_vllm.py
@@ -1,9 +1,10 @@
 import shutil
 import unittest
+from typing import Callable
 
 import pytest
 from datasets import load_dataset
-from parameterized import parameterized_class
+from parameterized import parameterized, parameterized_class
 from transformers import AutoTokenizer
 
 from llmcompressor.modifiers.quantization import QuantizationModifier
@@ -32,10 +33,22 @@
 CONFIGS = [WNA16, FP8, INT8, ACTORDER, WNA16_2of4]
 
 
+def gen_test_name(testcase_func: Callable, param_num: int, param: dict) -> str:
+    return "-".join(
+        [
+            testcase_func.__name__,
+            parameterized.to_safe_name(
+                param.get("testconfig_path", "").split("configs/")[-1]
+            ),
+            param.get("cadence", "").upper(),
+        ]
+    )
+
+
 @requires_gpu
 @requires_torch
 @pytest.mark.skipif(not vllm_installed, reason="vLLM is not installed, skipping test")
-@parameterized_class(parse_params(CONFIGS))
+@parameterized_class(parse_params(CONFIGS), class_name_func=gen_test_name)
 class TestvLLM(unittest.TestCase):
     """
     The following test quantizes a model using a preset scheme or recipe,