diff --git a/docs/docs/model_zoo.md b/docs/docs/model_zoo.md
index f5414bc8e103693da6b69a16a3cebbe9f9da1baa..34538d8e8baf45e78bdf6f768396b37a9ee1d38b 100644
--- a/docs/docs/model_zoo.md
+++ b/docs/docs/model_zoo.md
@@ -28,10 +28,10 @@
| MobileNetV1 | sensitive -30% | 70.4%/89.3% (-0.59%/-0.38%) | 12 | 0.74 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV1_sensitive-30.tar) |
| MobileNetV1 | sensitive -50% | 69.8% / 88.9% (-1.19%/-0.78%) | 9 | 0.56 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV1_sensitive-50.tar) |
| MobileNetV2 | - | 72.15%/90.65% | 15 | 0.59 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_pretrained.tar) |
-| MobileNetV2 | uniform -50% | 65.79%/86.11%(-6.35%/-4.47%) | 11 | 0.296 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV2_uniform-50.tar) |
+| MobileNetV2 | uniform -50% | 65.79%/86.11% (-6.35%/-4.47%) | 11 | 0.296 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV2_uniform-50.tar) |
| ResNet34 | - | 72.15%/90.65% | 84 | 7.36 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet34_pretrained.tar) |
-| ResNet34 | uniform -50% | 70.99%/89.95%(-1.36%/-0.87%) | 41 | 3.67 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet34_uniform-50.tar) |
-| ResNet34 | auto -55.05% | 70.24%/89.63%(-2.04%/-1.06%) | 33 | 3.31 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet34_auto-55.tar) |
+| ResNet34 | uniform -50% | 70.99%/89.95% (-1.36%/-0.87%) | 41 | 3.67 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet34_uniform-50.tar) |
+| ResNet34 | auto -55.05% | 70.24%/89.63% (-2.04%/-1.06%) | 33 | 3.31 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet34_auto-55.tar) |
@@ -42,12 +42,12 @@
|:--:|:---:|:--:|:--:|:--:|
| MobileNetV1 | student | 70.99%/89.68% | 17 | [下载链接](http://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV1_pretrained.tar) |
|ResNet50_vd|teacher|79.12%/94.44%| 99 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar) |
-|MobileNetV1|ResNet50_vd[1](#trans1) distill|72.77%/90.68%(+1.78%/+1.00%)| 17 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV1_distilled.tar) |
+|MobileNetV1|ResNet50_vd[1](#trans1) distill|72.77%/90.68% (+1.78%/+1.00%)| 17 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV1_distilled.tar) |
| MobileNetV2 | student | 72.15%/90.65% | 15 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_pretrained.tar) |
-| MobileNetV2 | ResNet50_vd distill | 74.28%/91.53%(+2.13%/+0.88%) | 15 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV2_distilled.tar) |
+| MobileNetV2 | ResNet50_vd distill | 74.28%/91.53% (+2.13%/+0.88%) | 15 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/MobileNetV2_distilled.tar) |
| ResNet50 | student | 76.50%/93.00% | 99 | [下载链接](http://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_pretrained.tar) |
|ResNet101|teacher|77.56%/93.64%| 173 | [下载链接](http://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar) |
-| ResNet50 | ResNet101 distill | 77.29%/93.65%(+0.79%/+0.65%) | 99 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet50_distilled.tar) |
+| ResNet50 | ResNet101 distill | 77.29%/93.65% (+0.79%/+0.65%) | 99 | [下载链接](https://paddlemodels.bj.bcebos.com/PaddleSlim/ResNet50_distilled.tar) |
!!! note "Note"
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
index 60b122ea9f406dbdcd9595cbb35848344a24f16e..fdebd7284fc7bcc8587d266d68ef1273ae4a5e1d 100644
--- a/docs/mkdocs.yml
+++ b/docs/mkdocs.yml
@@ -3,6 +3,12 @@ repo_url: https://github.com/PaddlePaddle/PaddleSlim
nav:
- Home: index.md
- 模型库: model_zoo.md
+- 教程:
+ - 离线量化: tutorials/quant_post_demo.md
+ - 量化训练: tutorials/quant_aware_demo.md
+ - Embedding量化: tutorials/quant_embedding_demo.md
+ - SA搜索: tutorials/nas_demo.md
+ - 知识蒸馏: tutorials/distillation_demo.md
- API:
- 量化: api/quantization_api.md
- 剪枝与敏感度: api/prune_api.md
@@ -11,12 +17,6 @@ nav:
- SA搜索: api/nas_api.md
- 搜索空间: api/search_space.md
- 硬件延时评估表: table_latency.md
-- 教程:
- - 离线量化: tutorials/quant_post_demo.md
- - 量化训练: tutorials/quant_aware_demo.md
- - Embedding量化: tutorials/quant_embedding_demo.md
- - SA搜索: tutorials/nas_demo.md
- - 知识蒸馏: tutorials/distillation_demo.md
- 算法原理: algo/algo.md
theme: