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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Download README.md from armnet/molmoact2_busybox_multitask_base: direct link, hf CLI and curl.
- Browser
- Download file 1.6 kB
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https://huggingface.co/armnet/molmoact2_busybox_multitask_base/resolve/main/README.md
- Command line
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hf download hf://armnet/molmoact2_busybox_multitask_base/README.md
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curl -L -o README.md https://huggingface.co/armnet/molmoact2_busybox_multitask_base/resolve/main/README.md
1.6 kB
| tags: | |
| - molmoact2 | |
| - robotics | |
| - lerobot | |
| - vla | |
| datasets: | |
| - armnet/busybox_multitask | |
| base_model: allenai/MolmoAct2 | |
| # molmoact2_busybox_multitask | |
| Full-component fine-tune of [MolmoAct2](https://huggingface.co/allenai/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](https://huggingface.co/datasets/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](https://wandb.ai/pravsels/molmoact2_busybox_multitask/runs/dhseedj1) | | |
| ## Checkpoints | |
| `checkpoint-20000/` is the final step. Tags `step-5000`, `step-10000`, `step-15000`, and `step-20000` point at this run. | |
| ```python | |
| 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](https://wandb.ai/pravsels/molmoact2_busybox_multitask/runs/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"`. | |