molmoact2_block_stack_quantile_norm_fix_25k

Fine-tuned MolmoAct2 (action-expert-only) for block_stack on SO101 data.

Policy	MolmoAct2 (policy.type=molmoact2)
Init checkpoint	allenai/MolmoAct2
Dataset	villekuosmanen/armnetbench_block_stack
Task	block_stack
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_block_stack
W&B project	molmoact2_block_stack_quantile_norm_fix_25k
W&B run	pir9oxln

Checkpoints

The checkpoint (local step 025000, 25k training steps) lives at the repository root for direct loading.

Verification

| Checkpoint step | 025000 | | Source path | checkpoints/025000/pretrained_model/ | | model.safetensors | 10,884,573,720 bytes, sha256 e4f71871567b158cecdc5762dc90f0fff98aa79087141754e7cb6d87bc928ea3 | | policy_preprocessor.json | 2,495 bytes, sha256 e7c8b8293cb0265a01f83278033272efcb21b4c7bfb031cfbd683ed74ee7b139 | | policy_postprocessor.json | 757 bytes, sha256 6dbed1e1ec69e8c50f3a04c1f144a54231e3ef508f15fd7896ead43ea645b033 | | train_config.json | 8,257 bytes, sha256 3373d72a00976be8d2faf88869a84d67ba0852287d9305dc0f008419b65788c2 |

Verify after download:

sha256sum model.safetensors
# expected: e4f71871567b158cecdc5762dc90f0fff98aa79087141754e7cb6d87bc928ea3

Usage

from lerobot.policies.molmoact2.modeling_molmoact2 import MolmoAct2Policy
policy = MolmoAct2Policy.from_pretrained("pravsels/molmoact2_block_stack_quantile_norm_fix_25k")