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openpi-pi05-droid-pretrained
ankile/openpi-pi05-droid-pretrained
openpi-pi05-droid-pretrained is a robotics model from ankile. 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. The card lists the license as apache-2.0.
The official Pi0.5 DROID pretrained model from the OpenPI framework, converted to bfloat16 for efficient storage and inference.
Access
Public
Updated Feb 22, 2026
Repo size
5.2 GB
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At a glance
- Task
- Robotics
- Library
- openpi
- License
- apache-2.0
- Access
- Public
- Created
- Feb 21, 2026
- Updated
- Feb 22, 2026
- SHA
- 91e32e24
Model card
From the Hugging Face model README
openpi-pi05-droid-pretrained
The official Pi0.5 DROID pretrained model from the OpenPI framework, converted to bfloat16 for efficient storage and inference.
Model Details
| Property | Value |
|---|---|
| OpenPI config | pi05_droid |
| Precision | bfloat16 |
| Parameter size | ~6.7 GB |
| Original source | gs://openpi-assets/checkpoints/pi05_droid |
Usage
Download and run inference
# Download checkpoint from HF Hub
huggingface-cli download ankile/openpi-pi05-droid-pretrained --local-dir <local_path>
# Run inference server
cd deps/openpi
uv run python scripts/serve_policy.py pi05_droid \
--checkpoint-dir <local_path>
In-process inference (Python)
from openpi.training import config as openpi_config
from openpi.policies import policy_config as openpi_policy_config
train_config = openpi_config.get_config("pi05_droid")
policy = openpi_policy_config.create_trained_policy(
train_config, "<local_path>"
)
result = policy.infer(obs_dict)
actions = result["actions"]
Checkpoint Format
Orbax format, all parameters in bfloat16.
├── _CHECKPOINT_METADATA
├── assets/
│ └── (normalization stats)
└── params/
└── (orbax checkpoint files)
License
Apache 2.0
- Task
- Robotics
- Library
- openpi
- License
- apache-2.0
- Created
- Feb 21, 2026
- Updated
- Feb 22, 2026