inference/sglang/benchmark/mmmu/README.md

Run evaluation

Evaluate sglang

Host the VLM:

python -m sglang.launch_server --model-path Qwen/Qwen2-VL-7B-Instruct --chat-template qwen2-vl --port 30000

Benchmark:

python benchmark/mmmu/bench_sglang.py --port 30000

It's recommended to reduce the memory usage by appending something ike --mem-fraction-static 0.6 to the command above.

Evaluate hf

python benchmark/mmmu/bench_hf.py --model-path Qwen/Qwen2-VL-7B-Instruct

Some popular model results:

1. Qwen/Qwen2-VL-2B-Instruct: 0.241
2. Qwen/Qwen2-VL-7B-Instruct: 0.255
3. Qwen/Qwen2.5-VL-3B-Instruct: 0.245
4. Qwen/Qwen2.5-VL-7B-Instruct: 0.242