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Co-authored-by: Ying Sheng <sqy1415@gmail.com> Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com> Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu> Co-authored-by: parasol-aser <3848358+parasol-aser@users.noreply.github.com> Co-authored-by: LiviaSun <33578456+ChuyueSun@users.noreply.github.com> Co-authored-by: Cody Yu <hao.yu.cody@gmail.com>
1.2 KiB
1.2 KiB
Download data
wget https://people.eecs.berkeley.edu/~hendrycks/data.tar
tar xf data.tar
Run benchmark
Benchmark sglang
python -m sglang.launch_server --model-path meta-llama/Llama-2-7b-chat-hf --port 30000
python3 bench_sglang.py --nsub 10
Benchmark vllm
python3 -m vllm.entrypoints.api_server --tokenizer-mode auto --model meta-llama/Llama-2-7b-chat-hf --disable-log-requests --port 21000
python3 bench_other.py --nsub 10 --backend vllm
Benchmark lightllm
# A10G
python -m lightllm.server.api_server --tokenizer_mode auto --model_dir ~/model_weights/llama-2-7b-chat-hf --max_total_token_num 16000 --port 22000
# V100
python -m lightllm.server.api_server --tokenizer_mode auto --model_dir ~/model_weights/llama-2-7b-chat-hf --max_total_token_num 4500 --port 22000
python3 bench_other.py --nsub 10 --backend lightllm
Benchmark guidance
python3 bench_other.py --nsub 10 --backend guidance --parallel 1
Benchmark lmql
CUDA_VISIBLE_DEVICES=0,1 lmql serve-model meta-llama/Llama-2-7b-chat-hf --cuda --port 23000
python3 bench_other.py --nsub 10 --backend lmql --parallel 2