diff --git a/Dockerfile b/Dockerfile
index 091c1a3..988dc71 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -12,7 +12,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
     python3 -m pip install --upgrade -r /requirements.txt
 
 # Install vLLM (switching back to pip installs since issues that required building fork are fixed and space optimization is not as important since caching) and FlashInfer 
-RUN python3 -m pip install vllm==0.7.0 && \
+RUN python3 -m pip install vllm==0.7.2 && \
     python3 -m pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.3
 
 # Setup for Option 2: Building the Image with the Model included
diff --git a/README.md b/README.md
index 5b53e24..78b0a38 100644
--- a/README.md
+++ b/README.md
@@ -18,9 +18,9 @@ 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 `v1.9.0` with vLLM `0.7.0` now available under `stable` tags 
+### 2. Worker vLLM `v2.0.0` with vLLM `0.7.2` now available under `stable` tags 
 
-Update v1.9.0 is now available, use the image tag `runpod/worker-v1-vllm:v1.9.0stable-cuda12.1.0`.
+Update v2.0.0 is now available, use the image tag `runpod/worker-v1-vllm:v2.0.0stable-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! 
@@ -82,7 +82,7 @@ Below is a summary of the available RunPod Worker images, categorized by image s
 
 | CUDA Version | Stable Image Tag                  | Development Image Tag             | Note                                                        |
 |--------------|-----------------------------------|-----------------------------------|----------------------------------------------------------------------|
-| 12.1.0       | `runpod/worker-v1-vllm:v1.9.0stable-cuda12.1.0` | `runpod/worker-v1-vllm:v1.9.0dev-cuda12.1.0` | When creating an Endpoint, select CUDA Version 12.3, 12.2 and 12.1 in the filter. |
+| 12.1.0       | `runpod/worker-v1-vllm:v2.0.0stable-cuda12.1.0` | `runpod/worker-v1-vllm:v2.0.0dev-cuda12.1.0` | When creating an Endpoint, select CUDA Version 12.3, 12.2 and 12.1 in the filter. |
 
 
 
diff --git a/docker-bake.hcl b/docker-bake.hcl
index 4b6939f..fc484cf 100644
--- a/docker-bake.hcl
+++ b/docker-bake.hcl
@@ -7,7 +7,7 @@ variable "REPOSITORY" {
 }
 
 variable "BASE_IMAGE_VERSION" {
-  default = "stable"
+  default = "v2.0.0stable"
 }
 
 group "all" {