diff --git a/onnxruntime/core/optimizer/qdq_transformer/ensure_unique_dq_for_node_unit.cc b/onnxruntime/core/optimizer/qdq_transformer/ensure_unique_dq_for_node_unit.cc
index cc0f785479..9d53e28921 100644
--- a/onnxruntime/core/optimizer/qdq_transformer/ensure_unique_dq_for_node_unit.cc
+++ b/onnxruntime/core/optimizer/qdq_transformer/ensure_unique_dq_for_node_unit.cc
@@ -53,7 +53,7 @@ Status DuplicateDQForOutputEdge(const graph_utils::GraphEdge& original_dq_output
                                     MakeString("Added by ", kTransformerName),
                                     dq_inputs,
                                     {&new_dq_output_nodearg},
-                                    nullptr,  // attributes
+                                    &original_dq_node.GetAttributes(),
                                     original_dq_node.Domain());
 
   // set up edges
diff --git a/onnxruntime/test/optimizer/ensure_unique_dq_for_node_unit_test.cc b/onnxruntime/test/optimizer/ensure_unique_dq_for_node_unit_test.cc
index 7a67747f7c..89ffb8ec87 100644
--- a/onnxruntime/test/optimizer/ensure_unique_dq_for_node_unit_test.cc
+++ b/onnxruntime/test/optimizer/ensure_unique_dq_for_node_unit_test.cc
@@ -234,4 +234,44 @@ TEST(EnsureUniqueDQForNodeUnitTests, QDQWithMultiConsumerDQNodes) {
   EXPECT_EQ(OpCount(op_count_before, "DequantizeLinear") + 4, OpCount(op_count_after, "DequantizeLinear"));
 }
 
+TEST(EnsureUniqueDQForNodeUnitTests, QDQWithMultiConsumerDQNodesPreservingAttributes) {
+  constexpr auto model_uri = ORT_TSTR("testdata/qdq_with_multi_consumer_q_dq_axis.onnx");
+
+  SessionOptions session_options{};
+  // test interaction with level 1 transformers
+  session_options.graph_optimization_level = TransformerLevel::Level1;
+
+  InferenceSessionWrapper session{session_options, GetEnvironment()};
+
+  ASSERT_STATUS_OK(session.Load(model_uri));
+
+  const auto op_count_before = CountOpsInGraph(session.GetGraph());
+
+  ASSERT_STATUS_OK(session.Initialize());
+
+  const auto op_count_after = CountOpsInGraph(session.GetGraph());
+
+  EXPECT_EQ(OpCount(op_count_before, "DequantizeLinear") + 8, OpCount(op_count_after, "DequantizeLinear"));
+
+  int64_t given_axis = 0;  // all the following 4 DQ nodes and their duplicated one should have axis = 0
+  std::string axis_dq_name0 = "Convolution28_Output_0/fusedmuladd_B/DequantizeLinear";
+  std::string axis_dq_name1 = "Parameter5/DequantizeLinear";
+  std::string axis_dq_name2 = "Convolution110_Output_0/fusedmuladd_B/DequantizeLinear";
+  std::string axis_dq_name3 = "Parameter87/DequantizeLinear";
+  for (const auto& node : session.GetGraph().Nodes()) {
+    if (node.OpType() == "DequantizeLinear") {
+      if (node.Name().find(axis_dq_name0) == 0 ||
+          node.Name().find(axis_dq_name1) == 0 ||
+          node.Name().find(axis_dq_name2) == 0 ||
+          node.Name().find(axis_dq_name3) == 0) {
+        const auto& attrs = node.GetAttributes();
+        ASSERT_TRUE(attrs.find("axis") != attrs.end());
+        const auto& axis_attr = attrs.at("axis");
+        int64_t axis = axis_attr.i();
+        EXPECT_EQ(axis, given_axis);
+      }
+    }
+  }
+}
+
 }  // namespace onnxruntime::test
diff --git a/onnxruntime/test/testdata/qdq_with_multi_consumer_q_dq_axis.onnx b/onnxruntime/test/testdata/qdq_with_multi_consumer_q_dq_axis.onnx
new file mode 100644
index 0000000000..4f575ebb28
Binary files /dev/null and b/onnxruntime/test/testdata/qdq_with_multi_consumer_q_dq_axis.onnx differ