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Add model card

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