docs: update windows installation (#2449)

website/docs/quick-start/installation/windows/index.mdx

@@ -2,17 +2,22 @@
 sidebar_position: 3
 ---
 
+import releaseImage from './assets.png';
+import successImage from './success.png';
+
 # Windows
 Running Tabby on Windows using Tabby's exe distribution.
 
 ## Find the Windows release
 * Go to the Tabby release page: https://github.com/TabbyML/tabby/releases
-* Click on the **Assets** dropdown for a specific release to find the Windows executable (exe) files.
-![Windows release](./assets.png)
+* Click on the **Assets** dropdown for a specific release to find the Windows zip files.
+<div align="left">
+  <img src={releaseImage} alt="Windows release" style={{ width: 800 }} />
+</div>
 
 ## Download the release
-* If you are using a CPU-only system, download the **tabby_x86_64-windows-msvc.exe file**.
-* If you are using a GPU-enabled system, download the **tabby_x86_64-windows-msvc-cuda117.exe** file, In this example, we assume you are using CUDA 11.7.
+* If you are using a CPU-only system, download the **tabby_x86_64-windows-msvc.zip**.
+* If you are using a GPU-enabled system, download the **tabby_x86_64-windows-msvc-cuda117.zip**, In this example, we assume you are using CUDA 11.7.
 
 **Tips:**
 * Download the CUDA Toolkit from Nvidia: https://developer.nvidia.com/cuda-toolkit
@@ -22,12 +27,25 @@ Running Tabby on Windows using Tabby's exe distribution.
 nvcc --version
 ```
 
+## Find the Windows executable file
+* Unzip the file `tabby_x86_64-windows-msvc-cuda117.zip`.
+* Navigate to the extracted folder named `tabby_x86_64-windows-msvc-cuda117`.
+* Inside this folder, go to `dist` -> `tabby_x86_64-windows-msvc-cuda117`.
+* In this directory, you'll find an executable file named `tabby.exe`.
+
 ## Running Tabby
-Open a command prompt or PowerShell window in the directory where you downloaded the Tabby executable. Run the following command:
+Open a command prompt or PowerShell window in the directory where the `tabby.exe` is located (from the previous step).
+
+Run the following command:
 ```
 # For CPU-only environments
-.\tabby_x86_64-windows-msvc.exe serve --model StarCoder-1B
+.\tabby.exe serve --model StarCoder-1B
 
 # For CUDA-enabled environments
-.\tabby_x86_64-windows-msvc-cuda117.exe serve --model StarCoder-1B --device cuda
-```
+.\tabby.exe serve --model StarCoder-1B --device cuda
+```
+
+You should see a success message similar to the one in the screenshot below. After that, you can visit http://localhost:8080 to access your Tabby instance.
+<div align="left">
+  <img src={successImage} alt="Windows running success" style={{ width: 800 }} />
+</div>