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eyedrops_basket_lightbox on SO101 data.| Policy | MolmoAct2 (policy.type=molmoact2) |
| Init checkpoint | allenai/MolmoAct2 |
| Dataset | pravsels/eye_drops_to_basket_lightbox |
| Task | eyedrops_basket_lightbox |
| Action dim | 6 (single-arm) |
| Cameras | top, wrist, front |
| Training | 25k steps, QUANTILES norm, freeze, batch 32 global, lightbox dataset, Isambard GH200 (8h TIMEOUT before 30k save) |
| Prior HF repo | pravsels/molmoact2_eyedrops_basket_lightbox |
| W&B project | molmoact2_eyedrops_basket_lightbox_25k |
| W&B run | 0wj3v47g |
025000, 25k training steps) lives at the repository root for direct loading.025000 |
| Source path | checkpoints/025000/pretrained_model/ |
| model.safetensors | 10,884,573,720 bytes, sha256 326f0dde06403075e4fcc0434cb066c38235fd5b9264c782d88a01d8f51bf2c6 |
| policy_preprocessor.json | 2,495 bytes, sha256 817d1b7650bc4b2963f9949626037113525d7aa31e48358e8981a5b8774a0599 |
| policy_postprocessor.json | 757 bytes, sha256 6dbed1e1ec69e8c50f3a04c1f144a54231e3ef508f15fd7896ead43ea645b033 |
| train_config.json | 8,277 bytes, sha256 f6a9cebf81903537e1194923539f51f85d7ca362f8cb21713efb0cae9d30fea5 |1sha256sum model.safetensors
2# expected: 326f0dde06403075e4fcc0434cb066c38235fd5b9264c782d88a01d8f51bf2c61from lerobot.policies.molmoact2.modeling_molmoact2 import MolmoAct2Policy
2policy = MolmoAct2Policy.from_pretrained("pravsels/molmoact2_eyedrops_basket_lightbox_25k")