diff --git a/ppocr/utils/export_model.py b/ppocr/utils/export_model.py
index 2c6b921e5..91c41dda3 100644
--- a/ppocr/utils/export_model.py
+++ b/ppocr/utils/export_model.py
@@ -318,42 +318,31 @@ def dynamic_to_static(model, arch_config, logger, input_shape=None):
 
 
 def export_single_model(
-    model, arch_config, save_path, logger, yaml_path, input_shape=None, quanter=None
+    model,
+    arch_config,
+    save_path,
+    logger,
+    yaml_path,
+    config,
+    input_shape=None,
+    quanter=None,
 ):
 
     model = dynamic_to_static(model, arch_config, logger, input_shape)
 
     if quanter is None:
-        paddle_version = version.parse(paddle.__version__)
-        if (
-            paddle_version >= version.parse("3.0.0b2")
-            or paddle_version == version.parse("0.0.0")
-        ) and os.environ.get("FLAGS_enable_pir_api", None) not in ["0", "False"]:
-            save_path = os.path.dirname(save_path)
-            for enable_pir in [True, False]:
-                if not enable_pir:
-                    save_path_no_pir = os.path.join(save_path, "inference")
-                    model.forward.rollback()
-                    with paddle.pir_utils.OldIrGuard():
-                        model = dynamic_to_static(
-                            model, arch_config, logger, input_shape
-                        )
-                        paddle.jit.save(model, save_path_no_pir)
-                else:
-                    save_path_pir = os.path.join(
-                        os.path.dirname(save_path),
-                        f"{os.path.basename(save_path)}_pir",
-                        "inference",
-                    )
-                    paddle.jit.save(model, save_path_pir)
-                    shutil.copy(
-                        yaml_path,
-                        os.path.join(
-                            os.path.dirname(save_path_pir), os.path.basename(yaml_path)
-                        ),
-                    )
-        else:
+        if config["Global"].get("export_with_pir", False):
+            paddle_version = version.parse(paddle.__version__)
+            assert (
+                paddle_version >= version.parse("3.0.0b2")
+                or paddle_version == version.parse("0.0.0")
+            ) and os.environ.get("FLAGS_enable_pir_api", None) not in ["0", "False"]
             paddle.jit.save(model, save_path)
+        else:
+            model.forward.rollback()
+            with paddle.pir_utils.OldIrGuard():
+                model = dynamic_to_static(model, arch_config, logger, input_shape)
+                paddle.jit.save(model, save_path)
     else:
         quanter.save_quantized_model(model, save_path)
     logger.info("inference model is saved to {}".format(save_path))
@@ -472,9 +461,16 @@ def export(config, base_model=None, save_path=None):
                 sub_model_save_path,
                 logger,
                 yaml_path,
+                config,
             )
     else:
         save_path = os.path.join(save_path, "inference")
         export_single_model(
-            model, arch_config, save_path, logger, yaml_path, input_shape=input_shape
+            model,
+            arch_config,
+            save_path,
+            logger,
+            yaml_path,
+            config,
+            input_shape=input_shape,
         )