diff --git a/README_en.md b/README_en.md
index 07b0f3a2abe4ffd678055bd522085764bd76e0a3..a36dc6fca4fda3d18acb1184a11dc5cd4055be28 100644
--- a/README_en.md
+++ b/README_en.md
@@ -8,7 +8,7 @@ PaddleClas is an image recognition toolset for industry and academia, helping us
 
 **Recent updates**
 
-- 2021.09.08 Add LCNet series model developed by PaddleClas, these models show strong competitiveness on Intel CPUs. The metrics and pretrained model can be downloaded [here](docs/en/ImageNet_models_en.md)
+- 2021.09.08 Add LCNet series model developed by PaddleClas, these models show strong competitiveness on Intel CPUs. The metrics and pretrained model are available [here](docs/en/ImageNet_models_en.md).
 
 - 2021.06.29 Add Swin-transformer series model，Highest top1 acc on ImageNet1k dataset reaches 87.2%, training, evaluation and inference are all supported. Pretrained models can be downloaded [here](docs/en/models/models_intro_en.md).
 - 2021.06.16 PaddleClas release/2.2. Add metric learning and vector search modules. Add product recognition, animation character recognition, vehicle recognition and logo recognition. Added 30 pretrained models of LeViT, Twins, TNT, DLA, HarDNet, and RedNet, and the accuracy is roughly the same as that of the paper.
diff --git a/docs/en/ImageNet_models_en.md b/docs/en/ImageNet_models_en.md
index 64476566e3f7e4e1a090c8557aa90f4655628370..8f3b44278b9772e617db0233ed0de2b53a7d86c5 100644
--- a/docs/en/ImageNet_models_en.md
+++ b/docs/en/ImageNet_models_en.md
@@ -66,14 +66,14 @@ Accuracy and inference time metrics of LCNet series models are shown as follows.
 
 | Model           | Top-1 Acc | Top-5 Acc | Intel-Xeon-Gold-6148 time(ms)<br>bs=1 | FLOPs(M) | Params(M) | Download Address |
 |:--:|:--:|:--:|:--:|:--:|:--:|:--:|
-| LCNet_x0_25        |0.5186           | 0.7565   |  1.74      | 18    | 1.5  | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x0_25_pretrained.pdparams) |
-| LCNet_x0_35        |0.5809           | 0.8083   |  1.92      | 29    | 1.6  | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x0_35_pretrained.pdparams) |
-| LCNet_x0_5         |0.6314           | 0.8466   |  2.05      | 47    | 1.9  | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x0_5_pretrained.pdparams) |
-| LCNet_x0_75        |0.6818           | 0.8830   |  2.29      | 99    | 2.4  | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x0_75_pretrained.pdparams) |
-| LCNet_x1_0         |0.7132           | 0.9003   |  2.46      | 161   | 3.0  | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x1_0_pretrained.pdparams) |
-| LCNet_x1_5         |0.7371           | 0.9153   |  3.19      | 342   | 4.5  | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x1_5_pretrained.pdparams) |
-| LCNet_x2_0         |0.7518           | 0.9227   |  4.27      | 590   | 6.5  | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x2_0_pretrained.pdparams) |
-| LCNet_x2_5         |0.7660           | 0.9300   |  5.39      | 906   | 9.0  | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x2_5_pretrained.pdparams) |
+| LCNet_x0_25        |0.5186           | 0.7565   |  1.74      | 18    | 1.5  | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x0_25_pretrained.pdparams) |
+| LCNet_x0_35        |0.5809           | 0.8083   |  1.92      | 29    | 1.6  | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x0_35_pretrained.pdparams) |
+| LCNet_x0_5         |0.6314           | 0.8466   |  2.05      | 47    | 1.9  | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x0_5_pretrained.pdparams) |
+| LCNet_x0_75        |0.6818           | 0.8830   |  2.29      | 99    | 2.4  | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x0_75_pretrained.pdparams) |
+| LCNet_x1_0         |0.7132           | 0.9003   |  2.46      | 161   | 3.0  | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x1_0_pretrained.pdparams) |
+| LCNet_x1_5         |0.7371           | 0.9153   |  3.19      | 342   | 4.5  | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x1_5_pretrained.pdparams) |
+| LCNet_x2_0         |0.7518           | 0.9227   |  4.27      | 590   | 6.5  | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x2_0_pretrained.pdparams) |
+| LCNet_x2_5         |0.7660           | 0.9300   |  5.39      | 906   | 9.0  | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/LCNet_x2_5_pretrained.pdparams) |
 
 
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