molmoact2_busybox_multitask
Full-component fine-tune of MolmoAct2 on SO-101 BusyBox multitask. Token embeddings stay frozen. This card is the 4× H200 retrain at effective batch 32.
| Init | allenai/MolmoAct2 (not the SO100_101 checkpoint) |
| 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 0.220 → 0.005. 14 h 23 m. Finished 2026-10-27 12:00 UTC. 5.046B learnable / 5.442B total |
| W&B | dhseedj1 |
Checkpoints
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",
revision="step-20000",
allow_patterns="checkpoint-20000/**",
)
Previous run
The 2026-10-25 1× H200 batch-4 fine-tune (olalqzcn) is still on this repo at olalqzcn-step-5000, olalqzcn-step-10000, olalqzcn-step-15000, and olalqzcn-step-20000. Load that checkpoint with revision="olalqzcn-step-20000".
Model tree for armnet/molmoact2_busybox_multitask_base
Base model
allenai/MolmoAct2