Instructions to use pravsels/molmoact2_tool_insert_20k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use pravsels/molmoact2_tool_insert_20k with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Update model card
Browse files
README.md
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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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base_model: allenai/MolmoAct2-SO100_101
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---
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# molmoact2_tool_insert_20k
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Fine-tuned [MolmoAct2](https://huggingface.co/allenai/MolmoAct2) (action-expert-only) for `tool_insert` on SO101 data.
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|---|---|
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| **Policy** | MolmoAct2 (`policy.type=molmoact2`) |
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| **Init checkpoint** | [allenai/MolmoAct2-SO100_101](https://huggingface.co/allenai/MolmoAct2-SO100_101) |
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| **Dataset** | [villekuosmanen/armnetbench_tool_insert](https://huggingface.co/datasets/villekuosmanen/armnetbench_tool_insert) |
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| **Task** | `tool_insert` |
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| **Action dim** | 6 (single-arm) |
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| **Cameras** | `top`, `wrist`, `front` |
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| **Training** | 20k steps, batch 32 (8/GPU × 4 DDP), 4× RTX 5090 on Vast.ai |
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| **Prior HF repo** | [pravsels/molmoact2_tool_insert](https://huggingface.co/pravsels/molmoact2_tool_insert) |
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| **W&B project** | [molmoact2_tool_insert](https://wandb.ai/pravsels/molmoact2_tool_insert) |
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| **W&B run** | [vsh6rneo](https://wandb.ai/pravsels/molmoact2_tool_insert/runs/vsh6rneo) |
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## Checkpoints
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The final checkpoint (local step `020000`, 20k total steps) lives at the **repository root** for direct loading.
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## Usage
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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_tool_insert_20k")
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```
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