Instructions to use TAPTIC/multitask_7tasks_GR00T17_40k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use TAPTIC/multitask_7tasks_GR00T17_40k with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
multitask_7tasks_GR00T17_40k
GR00T N1.7 policy trained with LeRobot on 7 manipulation tasks. Final checkpoint, 40,000 steps, batch size 64.
Fine-tuned from nvidia/GR00T-N1.7-3B on the private dataset TAPTIC/multitask_7tasks_reduced: 550 episodes, 186,419 frames at 10 fps, with 10% of episodes held out for evaluation. The state is 40-dimensional: raw tactile taxel readings were removed.
| Task | Episodes |
|---|---|
| Take the elliptical cylinder and put it in the corresponding hole. | 100 |
| Take the credit card and insert it in the wallet. | 100 |
| Take the fruits and put them in the basket, one by one, without dropping them. | 100 |
| Pick up one cup from the stack of cups. | 100 |
| Open the bottle, unscrew the cap. | 50 |
| Gently grasp the plastic glass and move it to the target spot. | 50 |
| Clear the table by putting the objects into the box. | 50 |
License
Derived from nvidia/GR00T-N1.7-3B. The base model repository includes the NVIDIA License, copied here as LICENSE, which limits use to non-commercial research or evaluation. Its README and the Isaac-GR00T repository name the NVIDIA Open Model License for the weights. This model is distributed for non-commercial research and evaluation only.
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Base model
nvidia/GR00T-N1.7-3B