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---
library_name: lerobot
tags:
- molmoact2
- robotics
- lerobot
- vla
- bimanual
base_model: allenai/MolmoAct2-SO100_101
---
# molmoact2_insert_candle_20k
Fine-tuned [MolmoAct2](https://huggingface.co/allenai/MolmoAct2) (action-expert-only) for `insert_candle` on SO101 data.
| | |
|---|---|
| **Policy** | MolmoAct2 (`policy.type=molmoact2`) |
| **Init checkpoint** | [allenai/MolmoAct2-SO100_101](https://huggingface.co/allenai/MolmoAct2-SO100_101) |
| **Dataset** | [villekuosmanen/armnetbench_insert_candle](https://huggingface.co/datasets/villekuosmanen/armnetbench_insert_candle) |
| **Task** | `insert_candle` |
| **Action dim** | 12 (bimanual) |
| **Cameras** | `top`, `left_wrist`, `right_wrist` |
| **Training** | 20k steps, batch 32 (8/GPU × 4 DDP), 4× RTX 5090 on Vast.ai |
| **Prior HF repo** | [pravsels/molmoact2_insert_candle](https://huggingface.co/pravsels/molmoact2_insert_candle) |
| **W&B project** | [molmoact2_insert_candle](https://wandb.ai/pravsels/molmoact2_insert_candle) |
| **W&B run** | [pvkbb3xa](https://wandb.ai/pravsels/molmoact2_insert_candle/runs/pvkbb3xa) |
## Checkpoints
The final checkpoint (local step `020000`, 20k total steps) lives at the **repository root** for direct loading.
## Usage
```python
from lerobot.policies.molmoact2.modeling_molmoact2 import MolmoAct2Policy
policy = MolmoAct2Policy.from_pretrained("pravsels/molmoact2_insert_candle_20k")
```