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Pi0 ALOHA RobotWin LoRA Checkpoint

This is a Pi0 base model fine-tuned with LoRA on the ALOHA RobotWin dataset.

Model Details

  • Base Model: Pi0 Base
  • Fine-tuning Method: LoRA
  • Dataset: demo_clean
  • Training Steps: 30000
  • Checkpoint Size: ~15GB

Checkpoint Structure

30000/
β”œβ”€β”€ assets/          # Model assets
β”œβ”€β”€ params/          # Model parameters
β”œβ”€β”€ train_state/     # Training state
└── _CHECKPOINT_METADATA

Usage

from pi0 import load_checkpoint

checkpoint_path = "path/to/30000"
model = load_checkpoint(checkpoint_path)

Training Info

  • Checkpoint directory: RoboTwin/policy/pi0/checkpoints/pi0_base_aloha_robotwin_lora/demo_clean/30000
  • Training completed at step 30000

Citation

If you use this checkpoint, please cite:

@misc{pi0-aloha-robotwin,
  title={Pi0 ALOHA RobotWin LoRA Checkpoint},
  author={cjgogo},
  year={2025},
  howpublished={\url{https://huggingface.co/cjgogo/pi0-aloha-robotwin-lora-30k_adjust_bottle}}
}
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