These are vision-language-action (VLA) models fine-tuned on BimanualYAM manipulation tasks for the RoboColosseum benchmark. Each VLA is fine-tuned from its public base checkpoint with its repo-default recipe: default LRs and frozen parts, with the LR scaled linearly with the effective batch size, for 5 epochs. Each folder holds the final-epoch inference weights plus the small config files needed to load the model. Each / /README.md gives the recipe, the files, and how to load the model. Training logs are in the W&B project shaileshxml-nus/RoboColosseum.