diff --git a/test/srt/test_srt_engine_with_quant_args.py b/test/srt/test_srt_engine_with_quant_args.py
new file mode 100644
index 000000000..3851ab41a
--- /dev/null
+++ b/test/srt/test_srt_engine_with_quant_args.py
@@ -0,0 +1,60 @@
+import unittest
+
+import sglang as sgl
+from sglang.test.test_utils import DEFAULT_SMALL_MODEL_NAME_FOR_TEST
+
+
+class TestSRTEngineWithQuantArgs(unittest.TestCase):
+
+    def test_1_quantization_args(self):
+
+        # we only test fp8 because other methods are currenly depend on vllm. We can add other methods back to test after vllm depency is resolved.
+        quantization_args_list = [
+            # "awq",
+            "fp8",
+            # "gptq",
+            # "marlin",
+            # "gptq_marlin",
+            # "awq_marlin",
+            # "bitsandbytes",
+            # "gguf",
+        ]
+
+        prompt = "Today is a sunny day and I like"
+        model_path = DEFAULT_SMALL_MODEL_NAME_FOR_TEST
+
+        sampling_params = {"temperature": 0, "max_new_tokens": 8}
+
+        for quantization_args in quantization_args_list:
+            engine = sgl.Engine(
+                model_path=model_path, random_seed=42, quantization=quantization_args
+            )
+            engine.generate(prompt, sampling_params)
+            engine.shutdown()
+
+    def test_2_torchao_args(self):
+
+        # we don't test int8dq because currently there is conflict between int8dq and capture cuda graph
+        torchao_args_list = [
+            # "int8dq",
+            "int8wo",
+            "fp8wo",
+            "fp8dq-per_tensor",
+            "fp8dq-per_row",
+        ] + [f"int4wo-{group_size}" for group_size in [32, 64, 128, 256]]
+
+        prompt = "Today is a sunny day and I like"
+        model_path = DEFAULT_SMALL_MODEL_NAME_FOR_TEST
+
+        sampling_params = {"temperature": 0, "max_new_tokens": 8}
+
+        for torchao_config in torchao_args_list:
+            engine = sgl.Engine(
+                model_path=model_path, random_seed=42, torchao_config=torchao_config
+            )
+            engine.generate(prompt, sampling_params)
+            engine.shutdown()
+
+
+if __name__ == "__main__":
+    unittest.main()