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pi0-libero-finetuned
oSYPark/pi0-libero-finetuned
pi0-libero-finetuned is a robotics model from oSYPark. Use it for the robotics task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Full fine-tune of Physical Intelligence's pi0 base model (gs://openpi-assets/checkpoints/pi0base) on the LIBERO benchmark (physical-intelligence/libero dataset), using the openpi pi0libero training config.
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Public
Updated Jul 9, 2026
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At a glance
- Task
- Robotics
- License
- apache-2.0
- Access
- Public
- Created
- Jul 9, 2026
- Updated
- Jul 9, 2026
- SHA
- 2a5ab5ed
Model card
From the Hugging Face model README
pi0-libero-finetuned
Full fine-tune of Physical Intelligence's pi0 base model (gs://openpi-assets/checkpoints/pi0_base) on the
LIBERO benchmark (physical-intelligence/libero dataset), using the
openpi pi0_libero training config.
- Base checkpoint:
pi0_base - Dataset:
physical-intelligence/libero - Training steps: 30,000 (checkpoint at step 29,999)
- Hardware: 2x NVIDIA H200
- Final train loss: ~0.0109
This repo contains only the params/ (inference weights) and assets/ (norm stats) needed to run inference —
the optimizer/train_state/ used to resume training is not included.
Usage
from openpi.training import config as _config
from openpi.policies import policy_config
cfg = _config.get_config("pi0_libero")
policy = policy_config.create_trained_policy(cfg, "<path to this checkpoint>")
- Task
- Robotics
- License
- apache-2.0
- Created
- Jul 9, 2026
- Updated
- Jul 9, 2026