InternVL3.5-4B is a medium-scale version in the open-source multimodal model series, achieving significant progress in generality, reasoning ability, and reasoning efficiency, and supporting new capabilities such as GUI interaction. The model adopts a cascaded reinforcement learning framework and visual resolution router technology to achieve efficient multimodal understanding and reasoning.

MultimodalTransformersOther

InternVL3_5-38B is a member of the open-source multimodal model InternVL3.5 series, which has made significant progress in versatility, reasoning ability, and reasoning efficiency. It supports multiple languages and can be applied to image-text-to-text tasks. It uses a cascaded reinforcement learning framework and visual resolution router technology to optimize performance.

MultimodalTransformersOther

InternVL3.5-14B is an open-source multimodal model in the InternVL series, which significantly improves generality, reasoning ability, and reasoning efficiency, supports new functions such as GUI interaction, and narrows the performance gap with commercial models.

MultimodalTransformersOther

InternVL3.5-1B is an open-source multimodal model in the InternVL series, with a parameter count of 1.1B, including 0.3B visual parameters and 0.8B language parameters. This model significantly improves generality, reasoning ability, and reasoning efficiency, and supports new functions such as GUI interaction.

MultimodalTransformersOther

InternVL3.5-4B is a medium-scale version of the open-source multimodal model series, containing 470 million parameters. It adopts an advanced cascaded reinforcement learning framework and visual resolution router technology, significantly improving the multimodal reasoning ability and efficiency.

MultimodalTransformersOther

InternVL3.5 is a new member of the open-source multimodal model family, significantly improving the versatility, reasoning ability, and reasoning efficiency of the InternVL series. It supports new functions such as GUI interaction and reaches the advanced level of open-source multimodal large language models.

MultimodalTransformersOther