diff --git a/paddle/fluid/framework/ir/quant_conv2d_dequant_fuse_pass.cc b/paddle/fluid/framework/ir/quant_conv2d_dequant_fuse_pass.cc
index 5043fce8885cdefc24b52c0321d83b411ccd5db4..2fc39fd25d56c18ac510b550186eccaeb6eb9030 100644
--- a/paddle/fluid/framework/ir/quant_conv2d_dequant_fuse_pass.cc
+++ b/paddle/fluid/framework/ir/quant_conv2d_dequant_fuse_pass.cc
@@ -225,10 +225,13 @@ void FuseDequant(ir::Graph* graph, Scope* scope,
                quantized_op_type == "depthwise_conv2d") {
       PADDLE_ENFORCE_EQ(
           dequant_type, "fake_channel_wise_dequantize_max_abs",
-          platform::errors::InvalidArgument("conv2d op must be dequantized by "
-                                            "[fake_channel_wise_dequantize_max_"
-                                            "abs], but got %s",
-                                            dequant_type));
+          platform::errors::InvalidArgument(
+              "conv2d op must be dequantized by "
+              "[fake_channel_wise_dequantize_max_abs], but got %s. "
+              "If you uses PaddleSlim to generate the quantized "
+              "model, please set the 'weight_quantize_type' params as "
+              "'channel_wise_abs_max' and generate the quantized model again.",
+              dequant_type));
       PADDLE_ENFORCE_EQ(
           weight_scale.size(), static_cast<size_t>(w_dims[0]),
           platform::errors::InvalidArgument(