Does MolmoAct2 run on Bimanual SO-100/SO-101?
partial
Scope: Training evidenced by public checkpoint(s); on-robot inference not documented by a primary source.
Capabilities
| Capability | State | Notes | Evidence |
|---|---|---|---|
| Train / fine-tune | works | ev-hub-mrc4t-molmoact2 | |
| Real-robot inference | no verified evidence | — | |
| Simulation inference | no verified evidence | — | |
| Teleop + record | no verified evidence | — |
Evidence 1 source; the cell shows the highest tier
- T3 · community reportedhub-checkpointsource 2026-09-19verified 2026-10-25 (today)
config.json type=molmoact2; train_config.json dataset MrC4t/bimanual_toy_bin (2000 steps), whose meta/info.json robot_type=bi_so_follower (46 episodes). Card has no rollout results.
https://huggingface.co/MrC4t/molmoact2_bi_so_bin5
MolmoAct2 inference speed by hardware robot-independent · inference cost only
| Compute | Runtime | Precision | Cams | p50 / p95 ms | Inference | Mem | Platform | Source |
|---|---|---|---|---|---|---|---|---|
| H100 80GB | PyTorch eager | bf16 | 2 | — | — | 13 GB | lerobot 0.6.1conditionsos: Ubuntu 22.04 (repo tested with) · memory_sampling: nvidia-smi peak Inference memory only (12.1 GiB peak GPU memory = 13.0 GB); no latency reported. LIBERO with two RGB cameras, chunk_size=10, 8 flow timesteps. Not task success. | T3 · community reported |
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No committed history yet. Source file: data/compat/bi-so__molmoact2.yaml