Update README.md

README.md

@@ -314,6 +314,8 @@ We benchmarked the throughput in a serving environment.
 
 Download sharegpt dataset: `wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json`
 Other datasets can be found in: https://github.com/vllm-project/vllm/tree/main/benchmarks
+
+Note: you can change the number of prompts to be benchmarked with `--num-prompts` argument for `benchmark_serving` script.
 ### baseline
 Server:
 ```Shell
@@ -333,11 +335,6 @@ VLLM_DISABLE_COMPILE_CACHE=1 vllm serve pytorch/Phi-4-mini-instruct-float8dq --t
 
 Client:
 ```Shell
-python benchmarks/benchmark_serving.py --backend vllm --dataset-name sharegpt --tokenizer microsoft/Phi-4-mini-instruct --dataset-path ./ShareGPT_V3_unfiltered_cleaned_split.json --model jerryzh168/phi4-mini-float8dq
-```
-
-Or
-```Shell
 python benchmarks/benchmark_serving.py --backend vllm --dataset-name sharegpt --tokenizer microsoft/Phi-4-mini-instruct --dataset-path ./ShareGPT_V3_unfiltered_cleaned_split.json --model jerryzh168/phi4-mini-float8dq --num-prompts 1
 ```