Update README.md

README.md

@@ -187,7 +187,7 @@ Here is the example to deploy the model with multiple GPU nodes, where the maste
 # step 1. start ray on all nodes
 
 # step 2. start vllm server only on node 0:
-vllm serve $MODEL_PATH --port $PORT --served-model-name my_model --trust-remote-code --tensor-parallel-size 8 --pipeline-parallel-size 4 --gpu-memory-utilization 0.85
+vllm serve $MODEL_PATH --port $PORT --served-model-name my_model --trust-remote-code --tensor-parallel-size 32 --gpu-memory-utilization 0.85
 
 
 # This is only an example, please adjust arguments according to your actual environment.