diff --git a/docs/source/main/model_zoo/MODEL_ZOO.md b/docs/source/main/model_zoo/MODEL_ZOO.md
index a5c87f89..2ae6521f 100644
--- a/docs/source/main/model_zoo/MODEL_ZOO.md
+++ b/docs/source/main/model_zoo/MODEL_ZOO.md
@@ -48,12 +48,7 @@ The [Model ZOO](https://chmura.put.poznan.pl/s/2pJk4izRurzQwu3) is a collection
 |---------------------------------------------------------------------------------------|------------|--------------------------------------------------------|--------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
 |[Residual Dense Network (RDN X2)](https://chmura.put.poznan.pl/s/cLBZpjYn3ubuoii)      |64          | Trained on 10 cm/px images set it same as input data   | X2           | Model originally trained by H Zhang et. al. in "[A Comparative Study on CNN-Based Single-Image Super-Resolution Techniques for Satellite Images](https://github.com/farahmand-m/satellite-image-super-resolution)" converted to onnx format  | [Image](https://chmura.put.poznan.pl/s/Ruz24ZpMNg97joV) from Massachusetts Roads Dataset [Dataset in kaggle](https://www.kaggle.com/datasets/balraj98/massachusetts-roads-dataset) |
 |[Residual Dense Network (RDN X4)](https://chmura.put.poznan.pl/s/AaKySmOoOhxW6qZ)      |64          | Trained on 10 cm/px images set it same as input data   | X4           | Model originally trained by H Zhang et. al. in "[A Comparative Study on CNN-Based Single-Image Super-Resolution Techniques for Satellite Images](https://github.com/farahmand-m/satellite-image-super-resolution)" converted to onnx format  | [Image](https://chmura.put.poznan.pl/s/Ruz24ZpMNg97joV) from Massachusetts Roads Dataset [Dataset in kaggle](https://www.kaggle.com/datasets/balraj98/massachusetts-roads-dataset) |
-|[Hybrid Attention Transformer (HAT X2)](https://github.com/ArturWoz/HAT-onnx/releases/download/release/HAT_SRx2_ImageNet-pretrain.onnx)              |64            | Set it same as input data      |X2             |[Model](https://github.com/XPixelGroup/HAT) originally trained by Xiangyu Chen et. al. converted to onnx format | [Image](https://github.com/ArturWoz/HAT-onnx/blob/main/examples/HAT_SRx2_ImageNet-pretrain.onnx.png)|
-|[Hybrid Attention Transformer (HAT X3)](https://github.com/ArturWoz/HAT-onnx/releases/download/release/HAT_SRx3_ImageNet-pretrain.onnx)              |64            | Set it same as input data      |X3             |[Model](https://github.com/XPixelGroup/HAT) originally trained by Xiangyu Chen et. al. converted to onnx format | [Image](https://github.com/ArturWoz/HAT-onnx/blob/main/examples/HAT_SRx3_ImageNet-pretrain.onnx.png)|
-|[Hybrid Attention Transformer (HAT X4)](https://github.com/ArturWoz/HAT-onnx/releases/download/release/HAT_SRx4_ImageNet-pretrain.onnx)              |64            | Set it same as input data      |X4             |[Model](https://github.com/XPixelGroup/HAT) originally trained by Xiangyu Chen et. al. converted to onnx format | [Image](https://github.com/ArturWoz/HAT-onnx/blob/main/examples/HAT_SRx4_ImageNet-pretrain.onnx.png)|
-|[Hybrid Attention Transformer - Large (HAT-L X2)](https://github.com/ArturWoz/HAT-onnx/releases/download/release/HAT-L_SRx2_ImageNet-pretrain.onnx)  |64            | Set it same as input data      |X2             |[Model](https://github.com/XPixelGroup/HAT) originally trained by Xiangyu Chen et. al. converted to onnx format | [Image](https://github.com/ArturWoz/HAT-onnx/blob/main/examples/HAT-L_SRx2_ImageNet-pretrain.onnx.png)|
-|[Hybrid Attention Transformer - Large (HAT-L X3)](https://github.com/ArturWoz/HAT-onnx/releases/download/release/HAT-L_SRx3_ImageNet-pretrain.onnx)  |64            | Set it same as input data      |X3             |[Model](https://github.com/XPixelGroup/HAT) originally trained by Xiangyu Chen et. al. converted to onnx format | [Image](https://github.com/ArturWoz/HAT-onnx/blob/main/examples/HAT-L_SRx3_ImageNet-pretrain.onnx.png)|
-|[Hybrid Attention Transformer - Large (HAT-L X4)](https://github.com/ArturWoz/HAT-onnx/releases/download/release/HAT-L_SRx4_ImageNet-pretrain.onnx)  |64            | Set it same as input data      |X4             |[Model](https://github.com/XPixelGroup/HAT) originally trained by Xiangyu Chen et. al. converted to onnx format | [Image](https://github.com/ArturWoz/HAT-onnx/blob/main/examples/HAT-L_SRx4_ImageNet-pretrain.onnx.png)|
+
 
 ## Contributing