diff --git a/docs/en/stack/ml/nlp/images/ml-nlp-elser-v2-download.png b/docs/en/stack/ml/nlp/images/ml-nlp-elser-v2-download.png
index 251931e45..636adb6ff 100644
Binary files a/docs/en/stack/ml/nlp/images/ml-nlp-elser-v2-download.png and b/docs/en/stack/ml/nlp/images/ml-nlp-elser-v2-download.png differ
diff --git a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc
index 2cc5cbb03..cb66d28e2 100644
--- a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc
+++ b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc
@@ -114,13 +114,20 @@ in the list of trained models. There are two versions available: one portable
 version which runs on any hardware and one version which is optimized for Intel® 
 silicon. You can see which model is recommended to use based on your hardware 
 configuration.
-2. Click the **Download model** button under **Actions**. You can check the 
-download status on the **Notifications** page.
+2. Click the **Add trained model** button. Select the ELSER model version you 
+want to use in the opening modal window. The model that is recommended for you 
+based on your hardware configuration is highlighted. Click **Download**. You can 
+check the download status on the **Notifications** page.
 +
 --
 [role="screenshot"]
 image::images/ml-nlp-elser-v2-download.png[alt="Downloading ELSER",align="center"]
 --
++
+--
+Alternatively, click the **Download model** button under **Actions** in the 
+trained model list.
+--
 3. After the download is finished, start the deployment by clicking the 
 **Start deployment** button.
 4. Provide a deployment ID, select the priority, and set the number of