---
base_model: Qwen2-VL-7B-Instruct
library_name: peft
---

# Model Card

## Model Details
- **Finetuned from model:** Qwen2-VL-7B-Instruct
- **Finetuned dataset:** VAR, YoucookII
- **Paper:** ABDUCTIVEMLLM: Boosting Visual Abductive Reasoning Within MLLMs


## How to Get Started with the Model

Use the code below to get started with the model.

```python
    model = Qwen2VLForConditionalGeneration.from_pretrained(
        'path/to/your/Qwen2-VL-7B-Instruct',
        torch_dtype='auto',
        attn_implementation="flash_attention_2"
    )

    # merge lora adapter from Training Stage-1
    lora_model_dir = 'qwen2vl_7b_var_lora1' 
    model = PeftModel.from_pretrained(model, model_id=lora_model_dir) 
    model = model.merge_and_unload()

    # merge lora adapter from Training Stage-2
    lora2_dir = 'qwen2vl_7b_var_select3_lora2'
    model = PeftModel.from_pretrained(model, model_id=lora2_dir)
    model = model.merge_and_unload()

    model.generate()
```


## Citation 
```
@article{chang2026abductivemllm,
  title={AbductiveMLLM: Boosting Visual Abductive Reasoning Within MLLMs},
  author={Chang, Boyu and Wang, Qi and Guo, Xi and Nan, Zhixiong and Yao, Yazhou and Zhou, Tianfei},
  journal={arXiv preprint arXiv:2601.02771},
  year={2026}
}
```