metadata
base_model:
- Qwen/Qwen2.5-VL-7B-Instruct
datasets:
- TIGER-Lab/PixelReasoner-SFT-Data
language:
- en
library_name: transformers
license: apache-2.0
metrics:
- accuracy
pipeline_tag: image-text-to-text
The model is trained with curiosity-driven RL described in paper.
We have released vllm based inference code at https://github.com/TIGER-AI-Lab/Pixel-Reasoner/. Project page: https://tiger-ai-lab.github.io/Pixel-Reasoner/ Github repository: https://github.com/TIGER-AI-Lab/Pixel-Reasoner/
We will release a simple hf.generate() based inference code.
Please also play with the cool interactive demo