dmr: touch ups

content/manuals/_index.md

@@ -36,15 +36,15 @@ params:
     description: Manage and secure your AI tools with a single gateway.
     icon: /icons/toolkit.svg
     link: /ai/mcp-gateway/
-    
+
   ai:
   - title: Ask Gordon
     description: Streamline your workflow and get the most out of the Docker ecosystem with your personal AI assistant.
     icon: note_add
     link: /ai/gordon/
   - title: Docker Model Runner
     description: View and manage your local models.
-    icon: view_in_ar
+    icon: /icons/models.svg
     link: /ai/model-runner/
   - title: MCP Catalog and Toolkit
     description: Augment your AI workflow with MCP servers.
@@ -126,7 +126,7 @@ Open source development and containerization technologies.
 
 ## AI
 
-All the Docker AI tools in one easy-to-access location. 
+All the Docker AI tools in one easy-to-access location.
 
 {{< grid items=ai >}}
 
@@ -145,6 +145,6 @@ subscription management.
 
 ## Enterprise
 
-Targeted at IT administrators with help on deploying Docker Desktop at scale with configuration guidance on security related features. 
+Targeted at IT administrators with help on deploying Docker Desktop at scale with configuration guidance on security related features.
 
 {{< grid items=enterprise >}}

content/manuals/ai/model-runner/api-reference.md

@@ -144,7 +144,7 @@ To call the `chat/completions` OpenAI endpoint from the host via TCP:
    If you are running on Windows, also enable GPU-backed inference.
    See [Enable Docker Model Runner](get-started.md#enable-docker-model-runner-in-docker-desktop).
 
-2. Interact with it as documented in the previous section using `localhost` and the correct port.
+1. Interact with it as documented in the previous section using `localhost` and the correct port.
 
 ```bash
 #!/bin/sh

content/manuals/ai/model-runner/get-started.md

@@ -30,23 +30,23 @@ with your local models in the **Models** tab in the Docker Desktop Dashboard.
 > For Docker Desktop versions 4.41 and earlier, this setting was under the
 > **Experimental features** tab on the **Features in development** page.
 
-### Enable Docker Model Runner in Docker Engine
+### Enable DMR in Docker Engine
 
 1. Ensure you have installed [Docker Engine](/engine/install/).
 1. Docker Model Runner is available as a package. To install it, run:
 
    {{< tabs >}}
    {{< tab name="Ubuntu/Debian">}}
 
-   ```console
+   ```bash
    $ sudo apt-get update
    $ sudo apt-get install docker-model-plugin
    ```
 
    {{< /tab >}}
    {{< tab name="RPM-base distributions">}}
 
-   ```console
+   ```bash
    $ sudo dnf update
    $ sudo dnf install docker-model-plugin
    ```
@@ -56,21 +56,21 @@ with your local models in the **Models** tab in the Docker Desktop Dashboard.
 
 1. Test the installation:
 
-   ```console
+   ```bash
    $ docker model version
    $ docker model run ai/smollm2
    ```
 
 > [!NOTE]
 > TCP support is enabled by default for Docker Engine on port `12434`.
 
-### Update Docker Model Runner in Docker Engine
+### Update DMR in Docker Engine
 
 To update Docker Model Runner in Docker Engine, uninstall it with
 [`docker model uninstall-runner`](/reference/cli/docker/model/uninstall-runner/)
 then reinstall it:
 
-```console
+```bash
 docker model uninstall-runner --images && docker model install-runner
 ```
 
@@ -133,8 +133,9 @@ Use the [`docker model run` command](/reference/cli/docker/model/run/).
 
 ## Configure a model
 
-You can configure a model, such as the its maximum token limit and more,
-use Docker Compose. See [Models and Compose - Model configuration options](../compose/models-and-compose.md#model-configuration-options).
+You can configure a model, such as its maximum token limit and more,
+use Docker Compose.
+See [Models and Compose - Model configuration options](../compose/models-and-compose.md#model-configuration-options).
 
 ## Publish a model
 
@@ -146,7 +147,7 @@ use Docker Compose. See [Models and Compose - Model configuration options](../co
 You can tag existing models with a new name and publish them under a different
 namespace and repository:
 
-```console
+```bash
 # Tag a pulled model under a new name
 $ docker model tag ai/smollm2 myorg/smollm2
 
@@ -161,7 +162,7 @@ documentation.
 You can also package a model file in GGUF format as an OCI Artifact and publish
 it to Docker Hub.
 
-```console
+```bash
 # Download a model file in GGUF format, for example from HuggingFace
 $ curl -L -o model.gguf https://huggingface.co/TheBloke/Mistral-7B-v0.1-GGUF/resolve/main/mistral-7b-v0.1.Q4_K_M.gguf
 
@@ -209,7 +210,7 @@ In Docker Desktop, to inspect the requests and responses for each model:
    - The prompt/request
    - The context usage
    - The time it took for the response to be generated.
-2. Select one of the requests to display further details:
+1. Select one of the requests to display further details:
    - In the **Overview** tab, view the token usage, response metadata and generation speed, and the actual prompt and response.
    - In the **Request**  and **Response** tabs, view the full JSON payload of the request and the response.
 
@@ -220,4 +221,4 @@ In Docker Desktop, to inspect the requests and responses for each model:
 
 - [Interact with your model programmatically](./api-reference.md)
 - [Models and Compose](../compose/models-and-compose.md)
-- [Docker Model Runner cli reference documentation](/reference/cli/docker/model)
+- [Docker Model Runner CLI reference documentation](/reference/cli/docker/model)