Instructions to use pravsels/molmoact2_block_stack_quantile_norm_fix_25k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use pravsels/molmoact2_block_stack_quantile_norm_fix_25k with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Update model card
Browse files
README.md
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@@ -30,6 +30,23 @@ Fine-tuned [MolmoAct2](https://huggingface.co/allenai/MolmoAct2) (action-expert-
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The checkpoint (local step `025000`, 25k training steps) lives at the **repository root** for direct loading.
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## Usage
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```python
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The checkpoint (local step `025000`, 25k training steps) lives at the **repository root** for direct loading.
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## Verification
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| **Checkpoint step** | `025000` |
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| **Source path** | `checkpoints/025000/pretrained_model/` |
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| **model.safetensors** | 10,884,573,720 bytes, sha256 `e4f71871567b158cecdc5762dc90f0fff98aa79087141754e7cb6d87bc928ea3` |
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| **policy_preprocessor.json** | 2,495 bytes, sha256 `e7c8b8293cb0265a01f83278033272efcb21b4c7bfb031cfbd683ed74ee7b139` |
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| **policy_postprocessor.json** | 757 bytes, sha256 `6dbed1e1ec69e8c50f3a04c1f144a54231e3ef508f15fd7896ead43ea645b033` |
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| **train_config.json** | 8,257 bytes, sha256 `3373d72a00976be8d2faf88869a84d67ba0852287d9305dc0f008419b65788c2` |
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Verify after download:
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```bash
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sha256sum model.safetensors
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# expected: e4f71871567b158cecdc5762dc90f0fff98aa79087141754e7cb6d87bc928ea3
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```
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## Usage
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```python
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