We provide several profiling tools to benchmark our models.
Download the dataset below or create your own dataset.
wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json
Profiling your model with profile_throughput.py
python profile_throughput.py \
ShareGPT_V3_unfiltered_cleaned_split.json \
/path/to/your/model \
--concurrency 64
profile_generation.py
perform benchmark with dummy data.
pip install nvidia-ml-py
python profile_generation.py \
/path/to/your/model \
--concurrency 1 8 --prompt-tokens 1 512 --completion-tokens 2048 512
profile_restful_api.py
is used to do benchmark on api server.
wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json
python3 profile_restful_api.py --backend lmdeploy --dataset-path ./ShareGPT_V3_unfiltered_cleaned_split.json