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qrvmil/pi0-multitask-sft-generalization
pi0-multitask-sft-generalization is a robotics model from qrvmil. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for openpi.
A: D0; B: D0+D1; C: D0+D1+D2. Independent official pi0base starts, LoRA rank/alpha32, batch8, seed0, 3001 updates. 50/100/150 demonstrations; corpus-specific normalization.
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Updated Sep 23, 2026
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From the Hugging Face model README
A: D0; B: D0+D1; C: D0+D1+D2. Independent official pi0_base starts, LoRA rank/alpha32, batch8, seed0, 3001 updates. 50/100/150 demonstrations; corpus-specific normalization.
Final D0/D1/D2/H1/H2 success (%), N50 paired seeds10000–10049: A=70/0/0/0/0; B=56/18/0/0/0; C=42/38/62/0/0. No observed common held-out gain. Training diversity, unique data, per-task exposure and normalization are confounded.
All15 checkpoints at0/500/1000/2000/3001 include parameters, normalization assets and training state. Final checkpoints are at checkpoints/{A,B,C}/3001. Update0 is saved LoRA initialization, not dense zero-shot pi0.
User requested remaining intermediate evaluation be stopped on2026-09-23. Twelveof36 intermediate N50cells completed; interrupted B500 partial episodes are raw evidence only. All15final N50cells and image sensitivity completed. Missing points are not zeroes.
Code, report, notebook and videos: https://github.com/qrvmil/maniskill_myws/tree/exp/pi0-multitask-sft-generalization
OpenPI981483dca0fd9acba698fea00aa6e52d56a66c58; LIBERO8f1084e3132a39270c3a13ebe37270a43ece2a01. Follow repository methods and evaluation API with each checkpoint's own assets/norm_stats.json.