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CoTinyVLA Outperforms 7B Robotics Baselines With Just 0.9B Parameters, but Testing Remains Limited to Simulation
CoTinyVLA distills hierarchical reasoning from a 35B teacher into a 0.9B vision-language-action model, outperforming the strongest 7B baseline across all four LIBERO-Plus test suites. Its code, training pipeline, and weights are public, but there are still no results from real robots, different hardware, or independent reproductions.