armnet/busybox_multitask
SO-101 • Updated • 132 episodes • 360
How to use armnet/molmoact2_busybox_multitask_so101 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
Full-component fine-tune of MolmoAct2-SO100_101 on SO-101 BusyBox multitask. Token embeddings stay frozen. This card is the 4× H200 run at effective batch 32, with image augmentation off.
| Init | allenai/MolmoAct2-SO100_101 @ 152569fe |
| Dataset | armnet/busybox_multitask (132 episodes / 25,734 frames, 27 tasks) |
| Cameras | top, wrist, front |
| Training | 4× H200, effective batch 32 (8/GPU), 20k steps, horizon 30, gradient checkpointing off, bf16 |
| Result | loss 0.334 → 0.002. 7 h 21 m. Finished 2026-10-28 04:44 UTC. 5.046B learnable / 5.442B total |
| W&B | 03krz2v5 |
checkpoint-20000/ is the final step. Tags step-5000, step-10000, step-15000, and step-20000 point at this run.
from huggingface_hub import snapshot_download
ckpt = snapshot_download(
"armnet/molmoact2_busybox_multitask_so101",
revision="step-20000",
allow_patterns="checkpoint-20000/**",
)
Base model
allenai/MolmoAct2-SO100_101