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eyedrops_basket on SO101 data.| Policy | MolmoAct2 (policy.type=molmoact2) |
| Init checkpoint | allenai/MolmoAct2 |
| Dataset | pravsels/object_top_shelf_reset_remote |
| Task | eyedrops_basket |
| Action dim | 6 (single-arm) |
| Cameras | top, wrist, front |
| Training | 25k steps, QUANTILES norm, freeze, batch 32 global, Isambard GH200 |
| Prior HF repo | pravsels/molmoact2_eyedrops_basket |
| W&B project | molmoact2_eyedrops_basket_quantile_norm_fix_25k |
| W&B run | eg3mj3si |
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 b23755fc6e107e6e592115d3d9a4b6f1ca79aad862c5985d6e180b9746c2234b |
| policy_preprocessor.json | 2,495 bytes, sha256 e7c8b8293cb0265a01f83278033272efcb21b4c7bfb031cfbd683ed74ee7b139 |
| policy_postprocessor.json | 757 bytes, sha256 6dbed1e1ec69e8c50f3a04c1f144a54231e3ef508f15fd7896ead43ea645b033 |
| train_config.json | 8,269 bytes, sha256 7208060f3f818568e2511c05535acfeca37c14b40583907c11bed8708206d9e2 |1sha256sum model.safetensors
2# expected: b23755fc6e107e6e592115d3d9a4b6f1ca79aad862c5985d6e180b9746c2234b1from lerobot.policies.molmoact2.modeling_molmoact2 import MolmoAct2Policy
2policy = MolmoAct2Policy.from_pretrained("pravsels/molmoact2_eyedrops_basket_quantile_norm_fix_25k")