
Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu> Co-authored-by: Roger Wang <136131678+ywang96@users.noreply.github.com>
30 lines
882 B
Markdown
30 lines
882 B
Markdown
# Benchmarking vLLM
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## Downloading the ShareGPT dataset
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You can download the dataset by running:
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```bash
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wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json
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```
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## Downloading the ShareGPT4V dataset
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The json file refers to several image datasets (coco, llava, etc.). The benchmark scripts
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will ignore a datapoint if the referred image is missing.
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```bash
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wget https://huggingface.co/datasets/Lin-Chen/ShareGPT4V/resolve/main/sharegpt4v_instruct_gpt4-vision_cap100k.json
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mkdir coco -p
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wget http://images.cocodataset.org/zips/train2017.zip -O coco/train2017.zip
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unzip coco/train2017.zip -d coco/
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```
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# Downloading the BurstGPT dataset
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You can download the BurstGPT v1.1 dataset by running:
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```bash
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wget https://github.com/HPMLL/BurstGPT/releases/download/v1.1/BurstGPT_without_fails_2.csv
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```
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