text: Title: [Track] VLM accuracy in MMMU benchmark
  Body: This issue keeps track of all vlm models accuracy in MMMU benchmark
  
  ``` python
  python benchmark/mmmu/bench_sglang.py
  python benchmark/mmmu/bench_hf.py --model-path model
  
  ```
  
  | | sglang | hf |
  |--|--|--|
  | Qwen2-VL-7B-Instruct |  0.485 | 0.255 |
  | Qwen2.5-VL-7B-Instruct | 0.477 | 0.242 |
  | MiniCPM-V-2_6 |  0.426 |  |
  | DeepseekVL2| 0.447 |  |
  | Deepseek-Janus-Pro-7B| | |
  | Llava + Llama| | |
  | Llava + qwen| | |
  | Llava + Mistral| | |
  | Mlama | | |
  | Gemma-3-it-4B| 0.409 | 0.403 |
  | InternVL2.5-38B | 0.61 | |
  