The project compresses the Segment Anything Model (SAM) family into smaller, faster models suitable for edge deployment using progressive knowledge distillation. It enables promptable concept segmentation and video object tracking with reduced computational requirements. The work includes SAM3-LiteText, a compact model achieving similar performance to the full SAM3 at significantly reduced size, and has been accepted to ICMR2026.