[Doc] Update rebase doc (#878)

Signed-off-by: tzhouam <tzhouam@connect.ust.hk>

docs/getting_started/installation/gpu/cuda.inc.md

@@ -22,7 +22,7 @@ Note: Pre-built wheels are currently only available for vLLM-Omni 0.11.0rc1 and
 
 vLLM-Omni is built based on vLLM. Please install it with command below.
 ```bash
-uv pip install vllm==0.12.0 --torch-backend=auto
+uv pip install vllm==0.14.0 --torch-backend=auto
 ```
 
 #### Installation of vLLM-Omni
@@ -36,13 +36,13 @@ uv pip install vllm-omni
 # --8<-- [start:build-wheel-from-source]
 
 #### Installation of vLLM
-If you do not need to modify source code of vLLM, you can directly install the stable 0.12.0 release version of the library
+If you do not need to modify source code of vLLM, you can directly install the stable 0.14.0 release version of the library
 
 ```bash
-uv pip install vllm==0.12.0 --torch-backend=auto
+uv pip install vllm==0.14.0 --torch-backend=auto
 ```
 
-The release 0.12.0 of vLLM is based on PyTorch 2.9.0 which requires CUDA 12.9 environment.
+The release 0.14.0 of vLLM is based on PyTorch 2.9.0 which requires CUDA 12.9 environment.
 
 #### Installation of vLLM-Omni
 Since vllm-omni is rapidly evolving, it's recommended to install it from source

docs/getting_started/quickstart.md

@@ -17,7 +17,7 @@ For installation on GPU from source:
 ```bash
 uv venv --python 3.12 --seed
 source .venv/bin/activate
-uv pip install vllm==0.12.0 --torch-backend=auto
+uv pip install vllm==0.14.0 --torch-backend=auto
 git clone https://github.com/vllm-project/vllm-omni.git
 cd vllm-omni
 uv pip install -e .