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docs: Update cached models steps with deployment paths and GPU sizing info #726

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docs: Update cached models steps with deployment paths and GPU sizing info #726

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6 changes: 5 additions & 1 deletion serverless/endpoints/model-caching.mdx
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Expand Up @@ -85,13 +85,17 @@ Follow these steps to select and add a cached model to your endpoint:

<Steps>
<Step title="Create a new endpoint">
Navigate to the [Serverless section](https://www.console.runpod.io/serverless) of the console and click **New Endpoint**.
Navigate to the [Serverless section](https://www.console.runpod.io/serverless) of the console and click **New Endpoint**. Choose your deployment type (Hugging Face, Docker, GitHub, or Hub).

If you select **Hugging Face**, the model field is the primary input—model caching is pre-configured automatically.
</Step>
<Step title="Configure the model">
In the **Endpoint Configuration** step, scroll down to **Model** and add the link or path for the model you want to use.

For example, `Qwen/qwen3-32b-awq`.

The console displays the model size and estimated GPU requirements to help you choose the right GPU configuration.

<Frame alt="Cached model setting">
<img src="/images/model-cache-setting.png" />
</Frame>
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