diff --git a/ggml/src/ggml-qnn.cpp b/ggml/src/ggml-qnn.cpp
index d62a8074e..3f228935c 100644
--- a/ggml/src/ggml-qnn.cpp
+++ b/ggml/src/ggml-qnn.cpp
@@ -319,6 +319,10 @@ GGML_CALL static ggml_status ggml_backend_qnn_graph_compute(ggml_backend_t backe
 GGML_CALL static bool ggml_backend_qnn_supports_op(ggml_backend_t backend, const ggml_tensor *op) {
     GGML_UNUSED(backend);
 
+    if (op->op == GGML_OP_NONE) {
+        return true;
+    }
+
     if (op->op == GGML_OP_UNARY) {
         if (!qnn::ggml_qnn_unary_op_array()[qnn::kGgmlUnaryOpStart + ggml_get_unary_op(op)]) {
             QNN_LOG_DEBUG("unsupported unary op %d", ggml_get_unary_op(op));
@@ -329,7 +333,7 @@ GGML_CALL static bool ggml_backend_qnn_supports_op(ggml_backend_t backend, const
             QNN_LOG_DEBUG("src0 is nullptr");
             return false;
         }
-    } else if (op->op != GGML_OP_NONE) {
+    } else {
         if (!qnn::ggml_qnn_unary_op_array()[op->op] && !qnn::ggml_qnn_binary_op_array()[op->op]) {
             QNN_LOG_DEBUG("unsupported op %d", op->op);
             return false;
diff --git a/ggml/src/ggml-qnn/graph.hpp b/ggml/src/ggml-qnn/graph.hpp
index 5fe5dc83d..462ed9203 100644
--- a/ggml/src/ggml-qnn/graph.hpp
+++ b/ggml/src/ggml-qnn/graph.hpp
@@ -102,9 +102,8 @@ public:
         _tensor_outputs = tensor_outputs;
 
         Qnn_OpConfig_t op_config = { /*.version = */ QNN_OPCONFIG_VERSION_1,
-                                     /*.v1 = */ { _graph_name.c_str(), QNN_OP_PACKAGE_NAME_QTI_AISW, op_name.c_str(),
-                                                  (uint32_t)_param_types.size(), _param_types.data(),
-                                                  (uint32_t)_tensor_inputs.size(), _tensor_inputs.data(),
+                                     /*.v1 = */ { _graph_name.c_str(), QNN_OP_PACKAGE_NAME_QTI_AISW, op_name.c_str(), 0,
+                                                  nullptr, (uint32_t)_tensor_inputs.size(), _tensor_inputs.data(),
                                                   (uint32_t)_tensor_outputs.size(), _tensor_outputs.data() } };
         auto error = _qnn_interface->qnn_graph_add_node(_graph_handle, op_config);
         if (error != QNN_SUCCESS) {
@@ -155,7 +154,6 @@ private:
     Qnn_GraphHandle_t _graph_handle = nullptr;
     std::array<Qnn_Tensor_t, _InputSize> _tensor_inputs;
     std::array<Qnn_Tensor_t, _OutputSize> _tensor_outputs;
-    std::vector<Qnn_Param_t> _param_types;
 
     ggml_qnn_graph(const ggml_qnn_graph &) = delete;
     void operator=(const ggml_qnn_graph &) = delete;