diff --git a/docs/src/language_servers.md b/docs/src/language_servers.md
index 564909eb8..330b11175 100644
--- a/docs/src/language_servers.md
+++ b/docs/src/language_servers.md
@@ -22,7 +22,7 @@ In order to use Tabby you need a sufficiently fast GPU; the CPU version which ca
 Alternatively, Tabby can be setup on a separate server with capable hardware; see the [Configuration docs](https://tabby.tabbyml.com/docs/extensions/configurations/) for the required configuration details.
 The following steps describe a local installation on a PC with compatible Nvidia GPU on Windows. More installation methods and the steps for other operation systems are listed in the [Tabby docs](https://tabby.tabbyml.com/docs/quick-start/installation/docker/).
 
-1. Download and install the CUDA Toolkit from https://developer.nvidia.com/cuda-downloads
+1. Download and install the CUDA Toolkit from <https://developer.nvidia.com/cuda-downloads>
 
 2. Download and extract a CUDA version of Tabby from the [GitHub releases page](https://github.com/TabbyML/tabby/releases) (click on "Assets"); e.g. `tabby_x86_64-windows-msvc-cuda122.zip`
 
@@ -58,10 +58,10 @@ The following steps describe a local installation on a PC with compatible Nvidia
 6. If necessary, edit the configuration file under `~/.tabby-client/agent/config.toml`, which is generated automatically on the first start of tabby-agent.
    For example, to disable anonymous usage tracking add
 
-   ```toml
-   [anonymousUsageTracking]
-   disable = true
-   ```
+    ```toml
+    [anonymousUsageTracking]
+    disable = true
+    ```
 
 7. Manually start the Tabby backend:
 
@@ -69,7 +69,7 @@ The following steps describe a local installation on a PC with compatible Nvidia
     tabby serve --model StarCoder-1B --no-webserver
     ```
 
-    The language server communicates with this backend, i.e. it needs to be running in order for `tabby-agent` to work.
+   The language server communicates with this backend, i.e. it needs to be running in order for `tabby-agent` to work.
 
 8. Now you can open a file in Sublime Text and start coding.
    Inline completions are requested when you manually trigger auto-complete via <kbd>Ctrl</kbd> + <kbd>Space</kbd>.