happyhappy-jun/gr00t-n1.6-aloha-kitchen-task-2
robotics model by happyhappy-jun
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Model card & documentation
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Single-task fine-tune on a real stationary ALOHA, sibling to gr00t-n1.6-aloha-kitchen-task-1 (the table-setting task) and to gr00t-n1.6-aloha-kitchen-task-12 (the two Kitchen tasks trained together). No task-success evaluation has been run on this checkpoint — this card makes no success claim. table by placing both plates, the spoon, the fork, and the cup into the gray bin." rightarm 0:6, rightgripper 6:7, leftarm 7:13, leftgripper 13:14. (high, low, wristleft, wristright) at 480x640 h264, 204 videos, 1 task string, 1.5 GB. No held-out split — all 51 episodes are trained on. state with every call. to 0.0 for inference (the actionhead.masktoken weight is then an ignored key). 0.016674, trainruntime 39,693.8 s (1.512 steps/s), epoch 1.0. Inference files only are published (no optimizer / scheduler / trainer state / RNG state). One Slurm job, no resume. gpu26 job 15765 bokitchen2r25h5060k ran 0 -> 60,000…
Read the full model card ↗ · Preview checked 2026-10-31T00:26:04.321Z
Inside the original model card — Document outline
- GR00T N1.6-3B — ALOHA "Kitchen Task 2" (wipe & clear the table), 25 Hz / H=50
- Recipe
- Training lineage
- Deploy note
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Model overview
happyhappy-jun/gr00t-n1.6-aloha-kitchen-task-2 is a robotics model repository published by happyhappy-jun on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- robotics
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-16T06:31:25.000Z
- Last modified
- 2026-09-16T06:34:05.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: nvidia/GR00T-N1.6-3B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-16T06:34:51.485Z. Daily imports are snapshots, not real-time monitoring.
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