All image metadata stripped from WebP output (smaller files, no GPS leak).
Our model is trained with SFT, where reasoning samples include “…” sections with chain-of-thought reasoning before the final answer, covering domains like math and science. Non-reasoning samples are tagged to start with a “” token, signaling a direct response, and cover perception-focused tasks such as captioning, grounding, OCR, and simple VQA. Reasoning data comprises approximately 20% of the total mix. Starting from a reasoning-capable backbone means this data grounds existing reasoning in visual contexts rather than teaching it to reason from scratch.
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Российский губернатор сообщил о погибших из-за удара ВСУ по жилому дому01:54
同时,在国家明确“双碳”目标后,正从电力系统主体电源向支撑性、调节性电源过渡。随着光伏、风电度电成本大幅下降,火电企业面临角色转换与市场份额的双重竞争压力。