diff --git a/content/manuals/_index.md b/content/manuals/_index.md
index 43eb7dc6cebb..f90b12bc4887 100644
--- a/content/manuals/_index.md
+++ b/content/manuals/_index.md
@@ -39,7 +39,7 @@ params:
   - title: Docker Model Runner
     description: View and manage your local models.
     icon: view_in_ar
-    link: /ai/model-runner/
+    link: /model-runner/
   - title: MCP Catalog and Toolkit
     description: Augment your AI workflow with MCP servers.
     icon: /icons/toolkit.svg
diff --git a/content/manuals/ai/model-runner/_index.md b/content/manuals/ai/model-runner.md
similarity index 83%
rename from content/manuals/ai/model-runner/_index.md
rename to content/manuals/ai/model-runner.md
index 56dc11dcae8c..279336575d95 100644
--- a/content/manuals/ai/model-runner/_index.md
+++ b/content/manuals/ai/model-runner.md
@@ -11,27 +11,24 @@ description: Learn how to use Docker Model Runner to manage and run AI models.
 keywords: Docker, ai, model runner, docker desktop, docker engine, llm
 aliases:
   - /desktop/features/model-runner/
-  - /model-runner/
+  - /ai/model-runner/
 ---
 
 {{< summary-bar feature_name="Docker Model Runner" >}}
 
-## Key features
+The Docker Model Runner plugin lets you:
 
-- [Pull and push models to and from Docker Hub](https://hub.docker.com/u/ai)
-- Run and interact with AI models directly from the command line or from the Docker Desktop GUI
-- Manage local models and display logs
-
-## How it works
+- [Pull models from Docker Hub](https://hub.docker.com/u/ai)
+- Run AI models directly from the command line
+- Manage local models (add, list, remove)
+- Interact with models using a submitted prompt or in chat mode in the CLI or Docker Desktop Dashboard
+- Push models to Docker Hub
 
 Models are pulled from Docker Hub the first time they're used and stored locally. They're loaded into memory only at runtime when a request is made, and unloaded when not in use to optimize resources. Since models can be large, the initial pull may take some time — but after that, they're cached locally for faster access. You can interact with the model using [OpenAI-compatible APIs](#what-api-endpoints-are-available).
 
 > [!TIP]
 >
-> Using Testcontainers or Docker Compose?
-> [Testcontainers for Java](https://java.testcontainers.org/modules/docker_model_runner/)
-> and [Go](https://golang.testcontainers.org/modules/dockermodelrunner/), and
-> [Docker Compose](/manuals/compose/how-tos/model-runner.md) now support Docker Model Runner.
+> Using Testcontainers or Docker Compose? [Testcontainers for Java](https://java.testcontainers.org/modules/docker_model_runner/) and [Go](https://golang.testcontainers.org/modules/dockermodelrunner/), and [Docker Compose](/manuals/compose/how-tos/model-runner.md) now support Docker Model Runner.
 
 ## Enable Docker Model Runner
 
@@ -79,58 +76,7 @@ You can now use the `docker model` command in the CLI and view and interact with
    $ docker model run ai/smollm2
    ```
 
-## Pull a model
-
-Models are cached locally.
-
-{{< tabs >}}
-{{< tab name="From Docker Desktop">}}
-
-1. Select **Models** and select the **Docker Hub** tab.
-2. Find the model of your choice and select **Pull**.
-
-{{< /tab >}}
-{{< tab name="From the Docker CLI">}}
-
-Use the [`docker model pull` command](/reference/cli/docker/).
-
-{{< /tab >}}
-{{< /tabs >}}
-
-## Run a model
-
-{{< tabs >}}
-{{< tab name="From Docker Desktop">}}
-
-Select **Models** and select the **Local** tab and click the play button.
-The interactive chat screen opens.
-
-{{< /tab >}}
-{{< tab name="From the Docker CLI">}}
-
-Use the [`docker model run` command](/reference/cli/docker/).
-
-{{< /tab >}}
-{{< /tabs >}}
-
-## Troubleshooting
-
-To troubleshoot potential issues, display the logs:
-
-{{< tabs >}}
-{{< tab name="From Docker Desktop">}}
-
-Select **Models** and select the **Logs** tab.
-
-{{< /tab >}}
-{{< tab name="From the Docker CLI">}}
-
-Use the [`docker model log` command](/reference/cli/docker/).
-
-{{< /tab >}}
-{{< /tabs >}}
-
-## Example: Integrate Docker Model Runner into your software development lifecycle
+## Integrate the Docker Model Runner into your software development lifecycle
 
 You can now start building your Generative AI application powered by the Docker Model Runner.
 
@@ -218,6 +164,7 @@ with `/exp/vDD4.40`.
 > [!NOTE]
 > You can omit `llama.cpp` from the path. For example: `POST /engines/v1/chat/completions`.
 
+
 ### How do I interact through the OpenAI API?
 
 #### From within a container
@@ -333,3 +280,12 @@ The Docker Model CLI currently lacks consistent support for specifying models by
 ## Share feedback
 
 Thanks for trying out Docker Model Runner. Give feedback or report any bugs you may find through the **Give feedback** link next to the **Enable Docker Model Runner** setting.
+
+## Disable the feature
+
+To disable Docker Model Runner:
+
+1. Open the **Settings** view in Docker Desktop.
+2. Navigate to the **Beta** tab in **Features in development**.
+3. Clear the **Enable Docker Model Runner** checkbox.
+4. Select **Apply & restart**.
diff --git a/data/redirects.yml b/data/redirects.yml
index 2fa714d311e1..aed83e6b2667 100644
--- a/data/redirects.yml
+++ b/data/redirects.yml
@@ -284,8 +284,7 @@
   - /go/mcp-toolkit/
 
 # Desktop DMR
-
-"/ai/model-runner/":
+"/model-runner/":
   - /go/model-runner/
 
 # Docker Desktop - volumes cloud backup
@@ -339,3 +338,4 @@
   - /go/permissions/
 "/desktop/setup/install/mac-permission-requirements/#binding-privileged-ports":
   - /go/port-mapping/
+  
\ No newline at end of file