InternVL
InternVL is an open-source project featuring advanced multimodal models that match the capabilities of top commercial models like GPT-4o. The project includes efficient models such as the Mini-InternVL series and high-performing models like the InternVL2 series, which lead benchmarks such as CharXiv and Video-MME. Ideal for uses including multilingual content creation, video frame analysis, and document-based question answering, InternVL supports easy customization with LoRA fine-tuning and robust community documentation, positioning it as a flexible open-source alternative to proprietary multimodal systems.
