Update README.md

README.md

@@ -33,7 +33,7 @@ To enable deployment of [Ring-Linear-2.0](https://github.com/inclusionAI/Ring-V2
 
 Since the Pull Request (PR) has not been submitted to the vLLM community at this stage, please prepare the environment by following the steps below.
 
-First, create a Conda environment with Python 3.10 and CUDA 12.8 (Use the root or admin account, or ensure the current user has access to /home/admin/logs):
+First, create a Conda environment with Python 3.10 and CUDA 12.8:
 ```shell
 conda create -n vllm python=3.10
 conda activate vllm
@@ -41,12 +41,12 @@ conda activate vllm
 
 Next, install our vLLM wheel package:
 ```shell
-pip install https://media.githubusercontent.com/media/inclusionAI/Ring-V2/refs/heads/main/hybrid_linear/whls/vllm-0.8.5%2Bcuda12_8_gcc10_2_1-cp310-cp310-linux_x86_64.whl --force-reinstall
+pip install https://media.githubusercontent.com/media/zheyishine/vllm_whl/refs/heads/main/vllm-0.8.5.post2.dev28%2Bgd327eed71.cu128-cp310-cp310-linux_x86_64.whl --force-reinstall
 ```
 
 Finally, install compatible versions of PyTorch and Torchvision after vLLM is installed:
 ```shell
-pip install torch==2.7.0 torchvision==0.22.0 
+pip install transformers==4.51.1 
 ```
 
 #### Offline Inference