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Exile051112/franka-pico4-pi0
franka-pico4-pi0 is a machine learning model from Exile051112. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains independent Pi0 PEFT LoRA checkpoints trained with the official PyTorch LeRobot workflow. Each condition is stored in its own folder.
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Updated Aug 29, 2026
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From the Hugging Face model README
This repository contains independent Pi0 PEFT LoRA checkpoints trained with the official PyTorch LeRobot workflow. Each condition is stored in its own folder.
| Folder | Training data | Status |
|---|---|---|
c1_red_yellow_real | 5 red real + 5 yellow real | 10k steps |
c2_red_yellow_blue_real | 5 red real + 5 yellow real + 5 blue real | 10k steps |
c3_red_yellow_blue_edited | 5 red real + 5 yellow real + 5 blue edited | 10k steps |
c4_red_yellow_real_blue_sim | 5 red real + 5 yellow real + 5 blue simulated | 10k steps |
c5_red_yellow_blue_sim | 5 red simulated + 5 yellow simulated + 5 blue simulated | 10k steps |
All experiment folders contain checkpoints at 2k, 4k, 6k, 8k, and 10k steps.
The adapters use PEFT LoRA (r=16, alpha=16), batch size 4, bfloat16, and
gradient checkpointing. Loading requires the matching Pi0 base, tokenizer, and
the selected condition folder.
The evaluation target is the blue Franka/Pico4 setup. The datasets use the robot-specific 17-D state, 10-D TCP action, top/wrist RGB streams, and 30 FPS.