InternVL

Why we included this project

InternVL is a family of open vision-language models built to match the image understanding and reasoning quality that used to come only with paid commercial services. Teams that would rather self-host a multimodal model than pay per token for a vendor API can pick a release that fits their hardware, from compact 1B-8B variants up to very large ones for demanding workloads. The models cover visual question answering, document and chart understanding, image captioning, and video and segmentation work, so there is usually a solid starting point for product development rather than a black box. The project also publishes its training reports and the code used to build and prepare the data, which means engineers can fine-tune for their own domain and researchers can study the methods instead of guessing at them.