--- license: apache-2.0 datasets: - TIGER-Lab/PixelReasoner-SFT-Data language: - en metrics: - accuracy base_model: - Qwen/Qwen2.5-VL-7B-Instruct pipeline_tag: image-text-to-text library_name: transformers --- The model is trained with curiosity-driven RL described in [paper](https://arxiv.org/abs/2505.15966). We have released vllm based inference code at 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](https://huggingface.co/spaces/TIGER-Lab/Pixel-Reasoner)