diff --git a/doc/DOCKER_IMAGES.md b/doc/DOCKER_IMAGES.md
index 637a8593cb74c37d348625fe1e153516cf91a2a7..0e38e668752a06a768cd5abdec8ec7c7aa142960 100644
--- a/doc/DOCKER_IMAGES.md
+++ b/doc/DOCKER_IMAGES.md
@@ -37,7 +37,7 @@ If you want to customize your Serving based on source code, use the version with
 |              GPU (cuda10.1-cudnn7-tensorRT6-gcc54) development               | Ubuntu16 | latest-cuda10.1-cudnn7-gcc54-devel(not ready) | [Dockerfile.cuda10.1-cudnn7-gcc54.devel](../tools/Dockerfile.cuda10.1-cudnn7-gcc54.devel) |
 |              GPU (cuda10.1-cudnn7-tensorRT6) development               | Ubuntu16 | latest-cuda10.1-cudnn7-devel | [Dockerfile.cuda10.1-cudnn7.devel](../tools/Dockerfile.cuda10.1-cudnn7.devel) |
 |              GPU (cuda10.2-cudnn8-tensorRT7) development               | Ubuntu16 | latest-cuda10.2-cudnn8-devel | [Dockerfile.cuda10.2-cudnn8.devel](../tools/Dockerfile.cuda10.2-cudnn8.devel) |
-|              GPU (cuda11-cudnn8-tensorRT7) development               | Ubuntu18 | latest-cuda11-cudnn8-devel | [Dockerfile.cuda11-cudnn8.devel](../tools/Dockerfile.cuda11-cudnn8.devel) |
+|              GPU (cuda11.2-cudnn8-tensorRT7) development               | Ubuntu18 | latest-cuda11.2-cudnn8-devel | [Dockerfile.cuda11.2-cudnn8.devel](../tools/Dockerfile.cuda11.2-cudnn8.devel) |
 
 **Java Client:**
 ```
diff --git a/doc/HTTP_SERVICE_CN.md b/doc/HTTP_SERVICE_CN.md
index ef35eff2f3d9cd259a7d66800dc6866605d4cf6d..040656ea11d90551acff95fff1147bc147e73515 100644
--- a/doc/HTTP_SERVICE_CN.md
+++ b/doc/HTTP_SERVICE_CN.md
@@ -48,7 +48,7 @@ python3.6 -m paddle_serving_server.serve --model uci_housing_model --thread 10 -
 
 Python的HttpClient使用示例见[`python/examples/fit_a_line/test_httpclient.py`](../python/examples/fit_a_line/test_httpclient.py)，接口详见[`python/paddle_serving_client/httpclient.py`](../python/paddle_serving_client/httpclient.py)。
 
-Java的HttpClient使用示例见[`java/examples/src/main/java/PaddleServingClientExample.java`](../java/examples/src/main/java/PaddleServingClientExample.java)接口详见[`java/src/main/java/io/paddle/serving/client/HttpClient.java`](../java/src/main/java/io/paddle/serving/client/HttpClient.java)。
+Java的HttpClient使用示例见[`java/examples/src/main/java/PaddleServingClientExample.java`](../java/examples/src/main/java/PaddleServingClientExample.java)接口详见[`java/src/main/java/io/paddle/serving/client/Client.java`](../java/src/main/java/io/paddle/serving/client/Client.java)。
 
 如果不能满足您的需求，您也可以在此基础上添加一些功能。
 
diff --git a/doc/model_zoo.md b/doc/model_zoo.md
new file mode 100644
index 0000000000000000000000000000000000000000..82503b1283f0fd0d1e2b70fa3154f83f2baab00a
--- /dev/null
+++ b/doc/model_zoo.md
@@ -0,0 +1,34 @@
+# Model Zoo
+
+本页面展示了Paddle Serving目前支持的预训练模型以及下载链接
+若您想为Paddle Serving提供新的模型，可通过[pull requese](https://github.com/PaddlePaddle/Serving/pulls)提交PR
+
+*特别感谢[PadddlePaddle 全链条](https://www.paddlepaddle.org.cn/wholechain)以及[PaddleHub](https://www.paddlepaddle.org.cn/hub)为Paddle Serving提供的部分预训练模型*
+
+
+| Model | Type | Dataset | Size | Download | Sample Input| Model mode |
+| --- | --- | --- | --- | --- | --- | --- |
+| ResNet_V2_50 | PaddleClas | ImageNet | 90.78 MB | [.tar.gz](https://paddle-serving.bj.bcebos.com/paddle_hub_models/image/ImageClassification/resnet_v2_50_imagenet.tar.gz) | [daisy.jpg](../examples/PaddleClas/resnet_v2_50/daisy.jpg) |Eager|
+| MobileNet_v2 | PaddleClas | ImageNet | 8.06 MB | [.tar.gz](https://paddle-serving.bj.bcebos.com/paddle_hub_models/image/ImageClassification/mobilenet_v2_imagenet.tar.gz) | [daisy.jpg](../examples/PaddleClas/mobilenet/daisy.jpg) |Eager|
+| Bert | PaddleNLP | zhwiki | 361.96 MB | [.tar.gz](https://paddle-serving.bj.bcebos.com/paddle_hub_models/text/SemanticModel/bert_chinese_L-12_H-768_A-12.tar.gz) | [data-c.txt](../examples/PaddleNLP/data-c.txt) |Eager|
+| Senta | PaddleNLP | Baidu | 578.37 MB | [.tar.gz](https://paddle-serving.bj.bcebos.com/paddle_hub_models/text/SentimentAnalysis/senta_bilstm.tar.gz) |  |Eager|
+| Squeezenet 1_1 | Image Classification | ImageNet | 4.4 MB | [.mar](https://torchserve.pytorch.org/mar_files/squeezenet1_1.mar) | [kitten.jpg](../examples/image_classifier/kitten.jpg) |Eager|
+| MNIST digit classifier | Image Classification | MNIST | 4.3 MB | [.mar](https://torchserve.pytorch.org/mar_files/mnist_v2.mar) | [0.png](../examples/image_classifier/mnist/test_data/0.png) |Eager|
+| Resnet 152 |Image Classification | ImageNet | 214 MB | [.mar](https://torchserve.pytorch.org/mar_files/resnet-152-batch_v2.mar) | [kitten.jpg](../examples/image_classifier/kitten.jpg) |Eager|
+| Faster RCNN | Object Detection | COCO | 148 MB | [.mar](https://torchserve.pytorch.org/mar_files/fastrcnn.mar) | [persons.jpg](../examples/object_detector/persons.jpg) |Eager|
+| MASK RCNN | Object Detection | COCO | 158 MB | [.mar](https://torchserve.pytorch.org/mar_files/maskrcnn.mar) | [persons.jpg](../examples/object_detector/persons.jpg) |Eager|
+| Text classifier | Text Classification | AG_NEWS | 169 MB | [.mar](https://torchserve.pytorch.org/mar_files/my_text_classifier_v4.mar) | [sample_text.txt](../examples/text_classification/sample_text.txt) |Eager|
+| FCN ResNet 101 | Image Segmentation | COCO | 193 MB | [.mar](https://torchserve.pytorch.org/mar_files/fcn_resnet_101.mar) | [persons.jpg](../examples/image_segmenter/persons.jpg) |Eager|
+| DeepLabV3 ResNet 101 | Image Segmentation | COCO | 217 MB | [.mar](https://torchserve.pytorch.org/mar_files/deeplabv3_resnet_101_eager.mar) | [persons.jpg](https://github.com/pytorch/serve/blob/master/examples/image_segmenter/persons.jpg) |Eager|
+| AlexNet Scripted | Image Classification | ImageNet | 216 MB | [.mar](https://torchserve.pytorch.org/mar_files/alexnet_scripted.mar) | [kitten.jpg](../examples/image_classifier/kitten.jpg) |Torchscripted |
+| Densenet161 Scripted| Image Classification | ImageNet | 105 MB | [.mar](https://torchserve.pytorch.org/mar_files/densenet161_scripted.mar) | [kitten.jpg](../examples/image_classifier/kitten.jpg) |Torchscripted |
+| Resnet18 Scripted| Image Classification | ImageNet | 42 MB | [.mar](https://torchserve.pytorch.org/mar_files/resnet-18_scripted.mar) | [kitten.jpg](../examples/image_classifier/kitten.jpg) |Torchscripted |
+| VGG16 Scripted| Image Classification | ImageNet | 489 MB | [.mar](https://torchserve.pytorch.org/mar_files/vgg16_scripted.mar) | [kitten.jpg](../examples/image_classifier/kitten.jpg) |Torchscripted |
+| Squeezenet 1_1 Scripted | Image Classification | ImageNet | 4.4 MB | [.mar](https://torchserve.pytorch.org/mar_files/squeezenet1_1_scripted.mar) | [kitten.jpg](../examples/image_classifier/kitten.jpg) |Torchscripted |
+| MNIST digit classifier Scripted | Image Classification | MNIST | 4.3 MB | [.mar](https://torchserve.pytorch.org/mar_files/mnist_scripted_v2.mar) | [0.png](../examples/image_classifier/mnist/test_data/0.png) |Torchscripted |
+| Resnet 152 Scripted |Image Classification | ImageNet | 215 MB | [.mar](https://torchserve.pytorch.org/mar_files/resnet-152-scripted_v2.mar) | [kitten.jpg](../examples/image_classifier/kitten.jpg) |Torchscripted |
+| Text classifier Scripted | Text Classification | AG_NEWS | 169 MB | [.mar](https://torchserve.pytorch.org/mar_files/my_text_classifier_scripted_v3.mar) | [sample_text.txt](../examples/text_classification/sample_text.txt) |Torchscripted |
+| FCN ResNet 101 Scripted | Image Segmentation | COCO | 193 MB | [.mar](https://torchserve.pytorch.org/mar_files/fcn_resnet_101_scripted.mar) | [persons.jpg](../examples/image_segmenter/persons.jpg) |Torchscripted |
+| DeepLabV3 ResNet 101 Scripted | Image Segmentation | COCO | 217 MB | [.mar](https://torchserve.pytorch.org/mar_files/deeplabv3_resnet_101_scripted.mar) | [persons.jpg](https://github.com/pytorch/serve/blob/master/examples/image_segmenter/persons.jpg) |Torchscripted |
+
+Refer [example](../examples) for more details on above models.
diff --git a/python/examples/detection/README.md b/python/examples/detection/README.md
index c42b3863c312e68b444385d59d905b850a23f697..e6d4da87aadd005756c151358869ba8632333118 100644
--- a/python/examples/detection/README.md
+++ b/python/examples/detection/README.md
@@ -4,11 +4,11 @@
 
 ### Introduction
 
-PaddleDetection flying paddle target detection development kit is designed to help developers complete the whole development process of detection model formation, training, optimization and deployment faster and better. For details, see [Github](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph)
+PaddleDetection flying paddle target detection development kit is designed to help developers complete the whole development process of detection model formation, training, optimization and deployment faster and better. For details, see [Github](https://github.com/PaddlePaddle/PaddleDetection/tree/master)
 
 This article mainly introduces the deployment of Paddle Detection's dynamic graph model on Serving.
 
-Paddle Detection provides a large number of [Model Zoo](https://github.com/PaddlePaddle/PaddleDetection/blob/master/dygraph/docs/MODEL_ZOO_cn.md), these model libraries can be used in Paddle Serving with export tools Model. For the export tutorial, please refer to [Paddle Detection Export Model Tutorial (Simplified Chinese)](https://github.com/PaddlePaddle/PaddleDetection/blob/master/dygraph/deploy/EXPORT_MODEL.md).
+Paddle Detection provides a large number of [Model Zoo](https://github.com/PaddlePaddle/PaddleDetection/blob/master/docs/MODEL_ZOO_cn.md), these model libraries can be used in Paddle Serving with export tools Model. For the export tutorial, please refer to [Paddle Detection Export Model Tutorial (Simplified Chinese)](https://github.com/PaddlePaddle/PaddleDetection/blob/master/deploy/EXPORT_MODEL.md).
 
 ### Serving example
 Several examples of PaddleDetection models used in Serving are given in this folder
diff --git a/python/examples/detection/README_CN.md b/python/examples/detection/README_CN.md
index 3a50afd81a87a59440d561d6849a6bd493f4012c..f5e62d7a7a0f682aa6e8b6a07ff9b304328d222e 100644
--- a/python/examples/detection/README_CN.md
+++ b/python/examples/detection/README_CN.md
@@ -4,13 +4,13 @@
 
 ### 简介
 
-PaddleDetection飞桨目标检测开发套件，旨在帮助开发者更快更好地完成检测模型的组建、训练、优化及部署等全开发流程。详情参见[Github](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph)
+PaddleDetection飞桨目标检测开发套件，旨在帮助开发者更快更好地完成检测模型的组建、训练、优化及部署等全开发流程。详情参见[Github](https://github.com/PaddlePaddle/PaddleDetection/tree/master)
 
 本文主要是介绍Paddle Detection的动态图模型在Serving上的部署。
 
 ### 导出模型
 
-Paddle Detection提供了大量的[模型库](https://github.com/PaddlePaddle/PaddleDetection/blob/master/dygraph/docs/MODEL_ZOO_cn.md), 这些模型库配合导出工具都可以得到可以用于Paddle Serving的模型。导出教程参见[Paddle Detection模型导出教程](https://github.com/PaddlePaddle/PaddleDetection/blob/master/dygraph/deploy/EXPORT_MODEL.md)。
+Paddle Detection提供了大量的[模型库](https://github.com/PaddlePaddle/PaddleDetection/blob/master/docs/MODEL_ZOO_cn.md), 这些模型库配合导出工具都可以得到可以用于Paddle Serving的模型。导出教程参见[Paddle Detection模型导出教程](https://github.com/PaddlePaddle/PaddleDetection/blob/master/deploy/EXPORT_MODEL.md)。
 
 ### Serving示例
 本文件夹下给出了多个PaddleDetection模型用于Serving的范例
diff --git a/python/examples/pipeline/PaddleDetection/ppyolo_mbv3/README_CN.md b/python/examples/pipeline/PaddleDetection/ppyolo_mbv3/README_CN.md
new file mode 100644
index 0000000000000000000000000000000000000000..a852a9229ae6ca228814bfc8afa2485ed8c4bb5d
--- /dev/null
+++ b/python/examples/pipeline/PaddleDetection/ppyolo_mbv3/README_CN.md
@@ -0,0 +1,19 @@
+# PPYOLO model on Pipeline Paddle Serving
+
+(简体中文|[English](./README_CN.md))
+
+### 获取模型
+```
+wget --no-check-certificate https://paddle-serving.bj.bcebos.com/pddet_demo/2.0/ppyolo_mbv3_large_coco.tar
+```
+
+### 启动服务
+```
+tar xf ppyolo_mbv3_large_coco.tar
+python3 web_service.py
+```
+
+### 执行预测
+```
+python3 pipeline_http_client.py
+```
diff --git a/python/examples/pipeline/PaddleDetection/yolov3/README_CN.md b/python/examples/pipeline/PaddleDetection/yolov3/README_CN.md
new file mode 100644
index 0000000000000000000000000000000000000000..aff60651378255cb1e6c40ce6bf3e26b913029cb
--- /dev/null
+++ b/python/examples/pipeline/PaddleDetection/yolov3/README_CN.md
@@ -0,0 +1,19 @@
+# YOLOv3 model on Pipeline Paddle Serving
+
+(简体中文|[English](./README.md))
+
+### 获取模型
+```
+wget --no-check-certificate https://paddle-serving.bj.bcebos.com/pddet_demo/2.0/yolov3_darknet53_270e_coco.tar
+```
+
+### 启动 WebService
+```
+tar xf yolov3_darknet53_270e_coco.tar
+python3 web_service.py
+```
+
+### 执行预测
+```
+python3 pipeline_http_client.py
+```
diff --git a/python/paddle_serving_app/README.md b/python/paddle_serving_app/README.md
index d336e7a2e5159b2dbe282fcaa703c809b9382636..0430ec5c0f76c5de84dafcff688cc857531134ee 100644
--- a/python/paddle_serving_app/README.md
+++ b/python/paddle_serving_app/README.md
@@ -67,7 +67,7 @@ Preprocessing for Chinese word segmentation task.
     - words（st ）：Original text input.
     - crf_decode（np.array）：CRF code predicted by model.
 
-  [example](../examples/lac/lac_web_service.py)
+  [example](../examples/lac/lac_http_client.py)
 
 - class SentaReader
 
diff --git a/python/paddle_serving_app/README_CN.md b/python/paddle_serving_app/README_CN.md
index 3002ac870de3daf2373fa6985c422feb734c3570..fc0c5154031bf53ab6c8b38626c7e1d271555bef 100644
--- a/python/paddle_serving_app/README_CN.md
+++ b/python/paddle_serving_app/README_CN.md
@@ -60,7 +60,7 @@ paddle_serving_app针对CV和NLP领域的模型任务，提供了多种常见的
     - words（str）：原始文本
     - crf_decode（np.array）：模型预测结果中的CRF编码
 
-  [参考示例](../examples/lac/lac_web_service.py)
+  [参考示例](../examples/lac/lac_http_client.py)
 
 - class SentaReader