The LFM2.5-VL-3B model optimizes vision-language tasks for resource-constrained edge devices. It balances high-speed inference with accuracy to enable real-time visual processing without cloud reliance. This release targets developers building local AI applications. It proves that small-scale models can handle complex visual reasoning without requiring massive GPU clusters for basic deployment.