InternVL Chat V1 5 [\[π GitHub\]](https://github.com/OpenGVLab/InternVL) [\[π InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[π InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[π Mini InternVL\]](https://arxiv.org/abs/2410.16261) [\[π InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[π Blog\]](https://internvl.github.io/blog/) [\[π¨οΈ Chat Demo\]](https://internvl.opengvlab.com/) [\[π€ HF Demo\]](https://huggingface.co/spaces/OpenGVLab/InternVL) [\[π Quick Start\]]( quick start) [\[π Documents\]](https://internvl.readthedocs.io/en/latest/) Introduction Two interns holding hands, symbolizing the integration of InternViT and InternLM. We introduce InternVL 1.5, an open source multimodal large language model (MLLM) to bridge the capability gap between open source and proprietary commercial models in multimodal understanding. We introduce three simple designs: 1. Strong Vision Encoder: we explored a continuous learning strategy for the large scale vision foundation model InternViT 6B, boosting its visual understanding capabilities, and making it can be transferred and reused in different LLMs. 2. Dynamic High Resolution: we divide images intoβ¦
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