LingBot-VLA is a pragmatic VLA foundation model for embodied AI and robotics. It trains on large-scale real-world robot data across nine dual-arm configurations, enabling vision-language understanding to drive robotic actions. The project includes pre-training and post-training pipelines, supports LeRobot v3.0, and offers open-loop evaluation with optimized GPU memory usage and Torch Compile support for inference.