vllm/benchmarks
Nick Hill 222a9dc350
[Benchmark] More accurate TPOT calc in benchmark_serving.py (#12288)
Signed-off-by: Nick Hill <nhill@redhat.com>
2025-01-22 13:46:14 +08:00
..

Benchmarking vLLM

Downloading the ShareGPT dataset

You can download the dataset by running:

wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json

Downloading the ShareGPT4V dataset

The json file refers to several image datasets (coco, llava, etc.). The benchmark scripts will ignore a datapoint if the referred image is missing.

wget https://huggingface.co/datasets/Lin-Chen/ShareGPT4V/resolve/main/sharegpt4v_instruct_gpt4-vision_cap100k.json
mkdir coco -p
wget http://images.cocodataset.org/zips/train2017.zip -O coco/train2017.zip
unzip coco/train2017.zip -d coco/