SESPOIR/ReGround-Qwen2.5-VL-7B
SESPOIR/ReGround-Qwen2.5-VL-7B is a 7 billion parameter vision-language model based on Qwen2.5-VL-7B, developed by SESPOIR. It incorporates the ReGround visual reasoning method, enabling the model to self-diagnose and request fresh visual evidence via a structured token for improved reasoning. This model is specifically designed for research into advanced visual reasoning and self-correction mechanisms in VLMs, utilizing a two-stage training process involving supervised fine-tuning and GRPO policy optimization.
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ReGround Qwen2.5-VL-7B Overview
ReGround Qwen2.5-VL-7B is a 7 billion parameter vision-language model developed by SESPOIR, built upon the Qwen2.5-VL-7B-Instruct architecture. Its core innovation is the ReGround visual reasoning method, which allows the model to perform a structured self-diagnosis and request additional visual evidence during inference. When the model emits a <reground> token, an inference controller re-injects the original image, prompting the model to refine its reasoning and final answer.
Key Capabilities
- Self-Correcting Visual Reasoning: Employs a unique
<reground>mechanism for iterative visual evidence re-examination. - Structured Reasoning Trajectories: Trained to utilize
<think>,<reground>, and<answer>blocks for organized thought processes. - Two-Stage Training: Benefits from full-parameter supervised fine-tuning on structured ReGround trajectories, followed by GRPO policy optimization to enhance self-diagnosis and answer accuracy.
Good For
- Research in Visual Reasoning: Ideal for exploring advanced techniques in VLM self-correction and evidence-based reasoning.
- Developing Adaptive Inference Systems: Provides a foundation for building systems that can dynamically request more visual information when uncertain.
- Understanding Model Self-Diagnosis: Offers insights into how models can be taught to identify and address their own reasoning gaps in visual tasks.
This model is intended for research purposes, and users should be aware of its limitations, including potential for incorrect reasoning or unnecessary re-examination.