Inference checkpoint from an early Stack3 fine-tune of a two-camera SO-101 π0.5 policy. It is warm-started from the Stack2 checkpoint that performed well in the user's real-robot trials, followed by 4,000 optimizer updates on the collected Stack3 full-chain dataset. There is no held-out validation set in this initial run. Training health or loss does not establish successful three-block stacking. This checkpoint has not been verified on the physical robot; it is provided for deployment testing, not as a claim of task success. The repository contains policy weights, model configuration, tokenizer, and matching observation/action pre- and post-processors with the normalization statistics…
Independent publisher
Mai Jiahong
WoWjx
Models in Library1
Datasets in Library0
Models on Hugging Face2
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Published tasks: Robotics.
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