Granite 4.0 3B Vision: Compact Multimodal Intelligence for Enterprise Documents

Granite 4.0 3B Vision is a compact vision-language model (VLM) designed for enterprise document understanding, excelling at table extraction, chart understanding, and semantic key-value pair extraction. The model's performance stems from three key innovations: a purpose-built dataset called ChartNet for chart interpretation, a DeepStack architecture for smarter visual feature injection, and a modular design as a LoRA adapter on a base language model. ChartNet uses a code-guided synthesis pipeline to generate millions of multimodal samples, teaching models to genuinely understand structured visuals. The DeepStack approach routes abstract visual features to earlier layers and high-resolution spatial features to later layers, improving performance on layout-dependent tasks.