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pi05-libero-spatial-sft-step-100

Miical

This is a deliberately undertrained PI0.5 checkpoint fine-tuned on LIBERO Spatial. It is intended as a reproducible starting policy for measuring how much downstream reinforcement learning improves task success, rather than as a fully trained SFT release. The checkpoint is an upstream-native, merged PI0.5 policy exported by verl-vla. It does not require a verl-vla checkpoint wrapper for inference. One complete pass over this dataset is 206 optimizer steps with the configured batch size. This checkpoint was saved at step 100, before completing the first epoch. It therefore provides a capable but intentionally non-saturated policy for subsequent RL experiments.

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pi05-libero-spatial-sft-step-100

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