Instructions to use armnet/molmoact2_busybox_multitask_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use armnet/molmoact2_busybox_multitask_base 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
- Notebooks
- Google Colab
- Kaggle
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Browse files
README.md
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---
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tags:
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- molmoact2
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- robotics
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- lerobot
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- vla
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datasets:
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- armnet/busybox_multitask
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---
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# molmoact2_busybox_multitask
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Full-component fine-tune of [MolmoAct2](https://huggingface.co/allenai/MolmoAct2) on SO-101 BusyBox multitask. Token embeddings stay frozen.
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|---|---|
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| **Init** | `allenai/MolmoAct2` (not the SO100_101 checkpoint) |
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| **Dataset** | [armnet/busybox_multitask](https://huggingface.co/datasets/armnet/busybox_multitask) (132 episodes, 27 tasks) |
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| **Cameras** | `top`, `wrist`, `front` |
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| **Training** | 1× H200 NVL, batch 4, 20k steps, horizon 30, gradient checkpointing on |
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| **Result** | loss 0.231 → 0.017. 5 h 21 m. Finished 2026-10-25 17:54 UTC. 5.046B learnable / 5.442B total |
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| **W&B** | [olalqzcn](https://wandb.ai/pravsels/molmoact2_busybox_multitask/runs/olalqzcn) (offline run, partial sync) |
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## Checkpoints
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`checkpoint-20000/` is the final step.
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`checkpoint-5000/` · `checkpoint-10000/` · `checkpoint-15000/` · `checkpoint-20000/`
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```python
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from huggingface_hub import snapshot_download
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ckpt = snapshot_download("armnet/molmoact2_busybox_multitask", allow_patterns="checkpoint-20000/**")
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```
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