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
Update model card for the batch-32 step-20000 retrain
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README.md
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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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| **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** |
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| **Result** | loss 0.
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| **W&B** | [
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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(
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```
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- vla
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datasets:
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- armnet/busybox_multitask
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base_model: allenai/MolmoAct2
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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. This card is the 4× H200 retrain at effective batch 32.
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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 / 25,734 frames, 27 tasks) |
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| **Cameras** | `top`, `wrist`, `front` |
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| **Training** | 4× H200, effective batch 32 (8/GPU), 20k steps, horizon 30, gradient checkpointing off, bf16 |
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| **Result** | loss 0.220 → 0.005. 14 h 23 m. Finished 2026-10-27 12:00 UTC. 5.046B learnable / 5.442B total |
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| **W&B** | [dhseedj1](https://wandb.ai/pravsels/molmoact2_busybox_multitask/runs/dhseedj1) |
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## Checkpoints
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`checkpoint-20000/` is the final step. Tags `step-5000`, `step-10000`, `step-15000`, and `step-20000` point at this run.
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```python
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from huggingface_hub import snapshot_download
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ckpt = snapshot_download(
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"armnet/molmoact2_busybox_multitask",
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revision="step-20000",
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allow_patterns="checkpoint-20000/**",
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)
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```
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## Previous run
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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"`.
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