diff --git a/configs/rec/rec_chinese_common_train.yml b/configs/rec/ch_ppocr_v1.0/rec_chinese_common_train_v1.0.yml
similarity index 100%
rename from configs/rec/rec_chinese_common_train.yml
rename to configs/rec/ch_ppocr_v1.0/rec_chinese_common_train_v1.0.yml
diff --git a/configs/rec/rec_chinese_lite_train.yml b/configs/rec/ch_ppocr_v1.0/rec_chinese_lite_train_v1.0.yml
similarity index 100%
rename from configs/rec/rec_chinese_lite_train.yml
rename to configs/rec/ch_ppocr_v1.0/rec_chinese_lite_train_v1.0.yml
diff --git a/configs/rec/ch_ppocr_v1.1/rec_chinese_common_train_v1.1.yml b/configs/rec/ch_ppocr_v1.1/rec_chinese_common_train_v1.1.yml
new file mode 100644
index 0000000000000000000000000000000000000000..8a84c635d32cce44daf405a8d48bcb0547b13acd
--- /dev/null
+++ b/configs/rec/ch_ppocr_v1.1/rec_chinese_common_train_v1.1.yml
@@ -0,0 +1,52 @@
+Global:
+  algorithm: CRNN
+  use_gpu: true
+  epoch_num: 500
+  log_smooth_window: 20
+  print_batch_step: 10
+  save_model_dir: ./output/rec_CRNN
+  save_epoch_step: 3
+  eval_batch_step: 2000
+  train_batch_size_per_card: 128
+  test_batch_size_per_card: 128
+  image_shape: [3, 32, 320]
+  max_text_length: 25
+  character_type: ch
+  character_dict_path: ./ppocr/utils/ppocr_keys_v1.txt
+  loss_type: ctc
+  distort: true
+  use_space_char: true
+  reader_yml: ./configs/rec/rec_chinese_reader.yml
+  pretrain_weights:
+  checkpoints:
+  save_inference_dir:
+  infer_img:
+
+Architecture:
+  function: ppocr.modeling.architectures.rec_model,RecModel
+
+Backbone:
+  function: ppocr.modeling.backbones.rec_resnet_vd,ResNet
+  layers: 34
+
+Head:
+  function: ppocr.modeling.heads.rec_ctc_head,CTCPredict
+  encoder_type: rnn
+  fc_decay: 0.00004
+  SeqRNN:
+    hidden_size: 256
+    
+Loss:
+  function: ppocr.modeling.losses.rec_ctc_loss,CTCLoss
+
+Optimizer:
+  function: ppocr.optimizer,AdamDecay
+  base_lr: 0.0005
+  l2_decay: 0.00004
+  beta1: 0.9
+  beta2: 0.999
+  decay:
+    function: cosine_decay_warmup
+    step_each_epoch: 254
+    total_epoch: 500
+    warmup_minibatch: 1000
diff --git a/configs/rec/ch_ppocr_v1.1/rec_chinese_lite_train_v1.1.yml b/configs/rec/ch_ppocr_v1.1/rec_chinese_lite_train_v1.1.yml
new file mode 100755
index 0000000000000000000000000000000000000000..89333f89ad9a6af4dd744daa8972ce35f805113a
--- /dev/null
+++ b/configs/rec/ch_ppocr_v1.1/rec_chinese_lite_train_v1.1.yml
@@ -0,0 +1,54 @@
+Global:
+  algorithm: CRNN
+  use_gpu: true
+  epoch_num: 500
+  log_smooth_window: 20
+  print_batch_step: 10
+  save_model_dir: ./output/rec_CRNN
+  save_epoch_step: 3
+  eval_batch_step: 2000
+  train_batch_size_per_card: 256
+  test_batch_size_per_card: 256
+  image_shape: [3, 32, 320]
+  max_text_length: 25
+  character_type: ch
+  character_dict_path: ./ppocr/utils/ppocr_keys_v1.txt
+  loss_type: ctc
+  distort: true
+  use_space_char: true
+  reader_yml: ./configs/rec/rec_chinese_reader.yml
+  pretrain_weights:
+  checkpoints:
+  save_inference_dir:
+  infer_img:
+
+Architecture:
+  function: ppocr.modeling.architectures.rec_model,RecModel
+
+Backbone:
+  function: ppocr.modeling.backbones.rec_mobilenet_v3,MobileNetV3
+  scale: 0.5
+  model_name: small
+  small_stride: [1, 2, 2, 2]
+
+Head:
+  function: ppocr.modeling.heads.rec_ctc_head,CTCPredict
+  encoder_type: rnn
+  fc_decay: 0.00001
+  SeqRNN:
+    hidden_size: 48
+    
+Loss:
+  function: ppocr.modeling.losses.rec_ctc_loss,CTCLoss
+
+Optimizer:
+  function: ppocr.optimizer,AdamDecay
+  base_lr: 0.0005
+  l2_decay: 0.00001
+  beta1: 0.9
+  beta2: 0.999
+  decay:
+    function: cosine_decay_warmup
+    step_each_epoch: 254
+    total_epoch: 500
+    warmup_minibatch: 1000
diff --git a/doc/doc_ch/quickstart.md b/doc/doc_ch/quickstart.md
index 6cfcc9cedb7165396da9b35a1a6e31e870abd865..1dcb633749aad4aa9e83ff85da3cbc79f80101f8 100644
--- a/doc/doc_ch/quickstart.md
+++ b/doc/doc_ch/quickstart.md
@@ -63,7 +63,7 @@ cd ..
 
 ## 3.单张图像或者图像集合预测
 
-以下代码实现了文本检测、识别串联推理，在执行预测时，需要通过参数image_dir指定单张图像或者图像集合的路径、参数`det_model_dir`指定检测inference模型的路径、参数`rec_model_dir`指定识别inference模型的路径、参数`use_angle_cls`指定是否使用方向分类器、参数`cls_model_dir`指定方向分类器inference模型的路径、参数`use_space_char`指定是否使用空格数据。可视化识别结果默认保存到`./inference_results`文件夹里面。
+以下代码实现了文本检测、识别串联推理，在执行预测时，需要通过参数image_dir指定单张图像或者图像集合的路径、参数`det_model_dir`指定检测inference模型的路径、参数`rec_model_dir`指定识别inference模型的路径、参数`use_angle_cls`指定是否使用方向分类器、参数`cls_model_dir`指定方向分类器inference模型的路径、参数`use_space_char`指定是否预测空格字符。可视化识别结果默认保存到`./inference_results`文件夹里面。
 
 ```bash
 
@@ -74,7 +74,6 @@ python3 tools/infer/predict_system.py --image_dir="./doc/imgs/11.jpg" --det_mode
 python3 tools/infer/predict_system.py --image_dir="./doc/imgs/" --det_model_dir="./inference/ch_ppocr_mobile_v1.1_det_infer/"  --rec_model_dir="./inference/ch_ppocr_mobile_v1.1_rec_infer/" --cls_model_dir="./inference/ch_ppocr_mobile_v1.1_cls_infer/" --use_angle_cls=True --use_space_char=True
 
 # 如果想使用CPU进行预测，需设置use_gpu参数为False
-
 python3 tools/infer/predict_system.py --image_dir="./doc/imgs/11.jpg" --det_model_dir="./inference/ch_ppocr_mobile_v1.1_det_infer/"  --rec_model_dir="./inference/ch_ppocr_mobile_v1.1_rec_infer/" --cls_model_dir="./inference/ch_ppocr_mobile_v1.1_cls_infer/" --use_angle_cls=True --use_space_char=True --use_gpu=False
 ```