Instructions to use pravsels/molmoact2_transfer_cube_norm_fix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use pravsels/molmoact2_transfer_cube_norm_fix with LeRobot:
- Notebooks
- Google Colab
- Kaggle
| library_name: lerobot | |
| tags: | |
| - molmoact2 | |
| - robotics | |
| - lerobot | |
| - vla | |
| - bimanual | |
| base_model: allenai/MolmoAct2 | |
| # molmoact2_transfer_cube_norm_fix | |
| Fine-tuned [MolmoAct2](https://huggingface.co/allenai/MolmoAct2) (action-expert-only) on SO101 data, with SO101 gripper normalization fix. | |
| | | | | |
| |---|---| | |
| | **Base model** | [allenai/MolmoAct2](https://huggingface.co/allenai/MolmoAct2) | | |
| | **Dataset** | [villekuosmanen/armnetbench_transfer_cube](https://huggingface.co/datasets/villekuosmanen/armnetbench_transfer_cube) | | |
| | **Task** | `transfer_cube` | | |
| | **Action dim** | 12 (bimanual) | | |
| | **Cameras** | `top`, `left_wrist`, `right_wrist` | | |
| | **Normalization** | MEAN_STD (action + state + gripper), IDENTITY (visual) | | |
| | **Training** | Isambard GH200, batch 64, bf16, gradient checkpointing | | |
| | **W&B project** | [molmoact2_transfer_cube](https://wandb.ai/pravsels/molmoact2_transfer_cube) | | |
| | **W&B run** | [kfileqwv](https://wandb.ai/pravsels/molmoact2_transfer_cube/runs/kfileqwv) | | |
| ## Checkpoints | |
| | Step | Path | | |
| |------|------| | |
| | 002000 | `checkpoints/002000/pretrained_model/` | | |
| The latest step (`002000`) is also copied to the **repository root** for direct loading. | |
| ## Usage | |
| ```python | |
| from lerobot.policies.molmoact2.modeling_molmoact2 import MolmoAct2Policy | |
| policy = MolmoAct2Policy.from_pretrained("pravsels/molmoact2_transfer_cube_norm_fix") | |
| ``` | |