diff --git a/README.md b/README.md
index a66451d..e6371f6 100644
--- a/README.md
+++ b/README.md
@@ -2,6 +2,8 @@
 
 ![demo](data/hfnet-1660s-demo.gif)
 
+## **9ms in GeForce GTX 2080 Ti**
+
 ## **15-20ms in GeForce GTX 1660s 6G**
 
 Since the origin HF-NET based on Python3, May be it is a little difficult integrate the code with your Cpp projects(some SLAM system). To run the `hfnet_ros` package, you need install the tensorflow from the source. For convience, you can using the docker image here to run this package.
diff --git a/model/download.sh b/model/download.sh
index 29c80d2..06dbc5d 100755
--- a/model/download.sh
+++ b/model/download.sh
@@ -1,10 +1,10 @@
 #!/bin/sh
 echo "Download hfnet model..."
-#wget http://robotics.ethz.ch/~asl-datasets/2019_CVPR_hierarchical_localization/hfnet_tf.tar.gz
+wget http://robotics.ethz.ch/~asl-datasets/2019_CVPR_hierarchical_localization/hfnet_tf.tar.gz
 echo "Download suscess! start extract..."
 tar -xavf hfnet_tf.tar.gz
 
 rm -rf hfnet
 rm *.gz
 
-echo "Done!"
\ No newline at end of file
+echo "Done!"