diff --git a/configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml b/configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml
index ab484a44833a405513d7f2b4079a4da4c2e403c8..bb6a196864b6e9e7525f2b5217f0c90ea2ca05a4 100644
--- a/configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml
+++ b/configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_cml.yml
@@ -18,6 +18,7 @@ Global:
 Architecture:
   name: DistillationModel
   algorithm: Distillation
+  model_type: det
   Models:
     Teacher:
       freeze_params: true
diff --git a/deploy/slim/quantization/export_model.py b/deploy/slim/quantization/export_model.py
index 7c3abb3086aaf3cebdf940dd0e018fc44a3c05e2..0cb86108d2275dc6ee1a74e118c27b94131975d3 100755
--- a/deploy/slim/quantization/export_model.py
+++ b/deploy/slim/quantization/export_model.py
@@ -111,7 +111,7 @@ def main():
     valid_dataloader = build_dataloader(config, 'Eval', device, logger)
 
     use_srn = config['Architecture']['algorithm'] == "SRN"
-    model_type = None
+    model_type = config['Architecture'].get('model_type', None)
     # start eval
     metric = program.eval(model, valid_dataloader, post_process_class,
                           eval_class, model_type, use_srn)
@@ -120,7 +120,7 @@ def main():
     for k, v in metric.items():
         logger.info('{}:{}'.format(k, v))
 
-    infer_shape = [3, 32, 100] if model_type != "det" else [3, 640, 640]
+    infer_shape = [3, 32, 100] if model_type == "rec" else [3, 640, 640]
 
     save_path = config["Global"]["save_inference_dir"]