diff --git a/test/srt/test_get_parameter_by_name.py b/test/srt/test_get_parameter_by_name.py
index 73b0a3f74..8dce1ac2c 100644
--- a/test/srt/test_get_parameter_by_name.py
+++ b/test/srt/test_get_parameter_by_name.py
@@ -16,7 +16,7 @@ from sglang.test.test_utils import (
 from sglang.utils import terminate_process
 
 
-class TestUpdateWeights(unittest.TestCase):
+class TestGetParameterByName(unittest.TestCase):
     @classmethod
     def setUpClass(cls):
         cls.model = DEFAULT_SMALL_MODEL_NAME_FOR_TEST
@@ -64,7 +64,7 @@ class TestUpdateWeights(unittest.TestCase):
         if self.process:
             terminate_process(self.process)
 
-    def assert_update_weights_all_close(self, param_name, truncate_size):
+    def assert_weights_all_close(self, param_name, truncate_size):
         print(
             f"param_name: {param_name}, backend: {self.backend}, dp: {self.dp}, tp: {self.tp}"
         )
@@ -87,12 +87,12 @@ class TestUpdateWeights(unittest.TestCase):
     @staticmethod
     def _process_return(ret):
         if isinstance(ret, list) and len(ret) == 2:
-            print(f"running assert_allclose on data parallel")
+            print("running assert_allclose on data parallel")
             np.testing.assert_allclose(ret[0], ret[1])
             return np.array(ret[0])
         return np.array(ret)
 
-    def test_update_weights_unexist_model(self):
+    def test_get_parameters_by_name(self):
         test_suits = [("Engine", 1, 1), ("Runtime", 1, 1)]
 
         if torch.cuda.device_count() >= 2:
@@ -120,7 +120,7 @@ class TestUpdateWeights(unittest.TestCase):
         for test_suit in test_suits:
             self.init_backend(*test_suit)
             for param_name in parameters:
-                self.assert_update_weights_all_close(param_name, 100)
+                self.assert_weights_all_close(param_name, 100)
             self.close_engine_and_server()