OpenPI Fine-tuned Model

This model was fine-tuned using OpenPI.

Training Details

  • Global Step: 5000
  • Experiment Name: droid-finetune-cube-stacking
  • Learning Rate: N/A
  • Batch Size: 32

Usage

from openpi.models_pytorch.pi0_pytorch import PI0Pytorch
from safetensors.torch import load_file
from huggingface_hub import hf_hub_download

# Download model weights
model_path = hf_hub_download(repo_id="your-repo-id", filename="model.safetensors")
state_dict = load_file(model_path)

# Load model (adjust config as needed)
model = PI0Pytorch(...)
model.load_state_dict(state_dict)
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Model size
4B params
Tensor type
F32
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BF16
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