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metadata
library_name: gr00t
tags:
  - gr00t
  - gr00t-n1.7
  - robotics
  - vla
base_model: nvidia/GR00T-N1.7-3B

groot1.7_insert_candle

Fine-tuned GR00T N1.7-3B on SO101 data (insert_candle).

Base model nvidia/GR00T-N1.7-3B
Dataset villekuosmanen/armnetbench_insert_candle
Task insert_candle
Training Isambard-AI GH200, batch 64, action horizon 16
W&B project groot1.7_insert_candle
W&B run roagmz69

Checkpoints

Step Loss Path
8,000 0.0216 checkpoints/8000/pretrained_model/
6,000 0.0264 checkpoints/6000/pretrained_model/

Usage

Load from a specific step:

from pathlib import Path
# Use checkpoints/<step>/pretrained_model/ with the GR00T inference stack
ckpt = "pravsels/groot1.7_insert_candle/checkpoints/8000/pretrained_model"