a4f1ee35d6
Signed-off-by: vincent-4 <vincentzhongy+githubvincent4@gmail.com> Signed-off-by: Brayden Zhong <b8zhong@uwaterloo.ca> Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com> Co-authored-by: Brayden Zhong <b8zhong@uwaterloo.ca> Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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/
Downloading the BurstGPT dataset
You can download the BurstGPT v1.1 dataset by running:
wget https://github.com/HPMLL/BurstGPT/releases/download/v1.1/BurstGPT_without_fails_2.csv