Instructions to use pravsels/molmoact2_tool_insert_20k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use pravsels/molmoact2_tool_insert_20k 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 pravsels/molmoact2_tool_insert_20k: direct link, hf CLI and curl.
- Browser
- Download file 1.37 kB
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https://huggingface.co/pravsels/molmoact2_tool_insert_20k/resolve/main/README.md
- Command line
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hf download hf://pravsels/molmoact2_tool_insert_20k/README.md
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curl -L -o README.md https://huggingface.co/pravsels/molmoact2_tool_insert_20k/resolve/main/README.md
1.37 kB
metadata
library_name: lerobot
tags:
- molmoact2
- robotics
- lerobot
- vla
base_model: allenai/MolmoAct2-SO100_101
molmoact2_tool_insert_20k
Fine-tuned MolmoAct2 (action-expert-only) for tool_insert on SO101 data.
| Policy | MolmoAct2 (policy.type=molmoact2) |
| Init checkpoint | allenai/MolmoAct2-SO100_101 |
| Dataset | villekuosmanen/armnetbench_tool_insert |
| Task | tool_insert |
| Action dim | 6 (single-arm) |
| Cameras | top, wrist, front |
| Training | 20k steps, batch 32 (8/GPU × 4 DDP), 4× RTX 5090 on Vast.ai |
| Prior HF repo | pravsels/molmoact2_tool_insert |
| W&B project | molmoact2_tool_insert |
| W&B run | vsh6rneo |
Checkpoints
The final checkpoint (local step 020000, 20k total steps) lives at the repository root for direct loading.
Usage
from lerobot.policies.molmoact2.modeling_molmoact2 import MolmoAct2Policy
policy = MolmoAct2Policy.from_pretrained("pravsels/molmoact2_tool_insert_20k")