From 571ef2b8050ae058d7491a07ee4284b279400895 Mon Sep 17 00:00:00 2001
From: Marut Pandya <pandyamarut@gmail.com>
Date: Fri, 9 Aug 2024 14:58:46 -0700
Subject: [PATCH] Update README.md

---
 README.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 7c567c2..a6eba8e 100644
--- a/README.md
+++ b/README.md
@@ -18,8 +18,10 @@ Deploy OpenAI-Compatible Blazing-Fast LLM Endpoints powered by the [vLLM](https:
 ### 1. UI for Deploying vLLM Worker on RunPod console:
 ![Demo of Deploying vLLM Worker on RunPod console with new UI](media/ui_demo.gif)
 
-### 2. Worker vLLM `v1.2.0` with vLLM `0.5.4` now available under `stable` tags
-Update v1.1 is now available, use the image tag `runpod/worker-v1-vllm:stable-cuda12.1.0`.
+### 2. Worker vLLM `v1.2.0` with vLLM `0.5.4` now available under `stable` tags 
+**[Note]**: Current stable docker image version still runs vllm v0.5.3, It will be updated soon.
+
+Update v1.1.0 is now available, use the image tag `runpod/worker-v1-vllm:stable-cuda12.1.0`.
 
 ### 3. OpenAI-Compatible [Embedding Worker](https://github.com/runpod-workers/worker-infinity-embedding) Released
 Deploy your own OpenAI-compatible Serverless Endpoint on RunPod with multiple embedding models and fast inference for RAG and more!