From a64e7da6c7c145c0e052172e7d7686764386e21a Mon Sep 17 00:00:00 2001
From: "promptless[bot]" <promptless[bot]@users.noreply.github.com>
Date: Fri, 26 Jun 2026 22:46:26 +0000
Subject: [PATCH] Add deployment paths and GPU sizing info to cached models
 steps

---
 serverless/endpoints/model-caching.mdx | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/serverless/endpoints/model-caching.mdx b/serverless/endpoints/model-caching.mdx
index d1eac64d4..69689fc52 100644
--- a/serverless/endpoints/model-caching.mdx
+++ b/serverless/endpoints/model-caching.mdx
@@ -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>