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This paper introduces Gait2Hip-60, a benchmark dataset and deep learning framework for predicting hip muscle forces and joint moments from gait kinematics, comparing LSTM, Transformer, and Mamba models. Transformer achieved the best performance, with moderate zero-shot generalization to pathological gait.