| library_name: gr00t | |
| tags: | |
| - gr00t | |
| - gr00t-n1.7 | |
| - robotics | |
| - vla | |
| base_model: nvidia/GR00T-N1.7-3B | |
| # groot1.7_block_stack | |
| Fine-tuned [GR00T N1.7-3B](https://huggingface.co/nvidia/GR00T-N1.7-3B) on SO101 data (`block_stack`). | |
| | | | | |
| |---|---| | |
| | **Base model** | [nvidia/GR00T-N1.7-3B](https://huggingface.co/nvidia/GR00T-N1.7-3B) | | |
| | **Dataset** | [villekuosmanen/armnetbench_block_stack](https://huggingface.co/datasets/villekuosmanen/armnetbench_block_stack) | | |
| | **Task** | `block_stack` | | |
| | **Training** | Isambard-AI GH200, batch 64, action horizon 16 | | |
| | **W&B project** | [groot1.7_block_stack](https://wandb.ai/pravsels/groot1.7_block_stack) | | |
| | **W&B run** | [ypeedac1](https://wandb.ai/pravsels/groot1.7_block_stack/runs/ypeedac1) | | |
| ## Checkpoints | |
| | Step | Loss | Path | | |
| |------|------|------| | |
| | 10,000 | 0.0194 | `checkpoints/10000/pretrained_model/` | | |
| | 8,000 | 0.0262 | `checkpoints/8000/pretrained_model/` | | |
| ## Usage | |
| Load from a specific step: | |
| ```python | |
| from pathlib import Path | |
| # Use checkpoints/<step>/pretrained_model/ with the GR00T inference stack | |
| ckpt = "pravsels/groot1.7_block_stack/checkpoints/10000/pretrained_model" | |
| ``` | |