diff --git a/vllm_omni/engine/test_serialization.py b/vllm_omni/engine/test_serialization.py
deleted file mode 100644
index 69c7fb8a1..000000000
--- a/vllm_omni/engine/test_serialization.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import torch
-
-from vllm_omni.engine.serialization import deserialize_additional_information, serialize_additional_information
-
-
-def test_serialize_additional_information():
-    info = {
-        "tensor_f32": torch.rand(3, dtype=torch.float32),
-        "tensor_f64": torch.rand(3, 3, dtype=torch.float64),
-        "list": [1, 2, 3],
-        "scalar": 1,
-    }
-
-    payload = serialize_additional_information(info)
-
-    assert payload.entries["tensor_f32"].tensor_dtype == "float32"
-    assert payload.entries["tensor_f32"].tensor_shape == [3]
-    assert payload.entries["tensor_f32"].tensor_data == info["tensor_f32"].numpy().tobytes()
-
-    assert payload.entries["tensor_f64"].tensor_dtype == "float64"
-    assert payload.entries["tensor_f64"].tensor_shape == [3, 3]
-    assert payload.entries["tensor_f64"].tensor_data == info["tensor_f64"].numpy().tobytes()
-
-    assert payload.entries["list"].list_data == info["list"]
-    assert payload.entries["scalar"].scalar_data == info["scalar"]
-
-    deserialized = deserialize_additional_information(payload)
-
-    # compare tensors separately first
-    assert torch.equal(deserialized["tensor_f32"], info["tensor_f32"])
-    assert torch.equal(deserialized["tensor_f64"], info["tensor_f64"])
-    del deserialized["tensor_f32"], info["tensor_f32"]
-    del deserialized["tensor_f64"], info["tensor_f64"]
-
-    assert deserialized == info