Does MolmoAct2 run on reBot Arm B601-DM?
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-harshmuriki-molmoact2-rebot, ev-hub-lilkm-molmoact2-birebot | |
| Real-robot inference | no verified evidence | — | |
| Simulation inference | no verified evidence | — | |
| Teleop + record | no verified evidence | — |
Evidence 2 sources; the cell shows the highest tier
- T3 · community reportedhub-checkpointverified 2026-10-24 (1d ago)
config.json type=molmoact2; train_config.json dataset Harshmuriki/rebot_pick_place_wrist_v3 whose meta/info.json robot_type=seeed_b601_dm_follower (Seeed plugin naming for the B601-DM, 100 episodes).
https://huggingface.co/Harshmuriki/molmoact2_finetuned_seeed_rebot_100k - T3 · community reportedhub-checkpointverified 2026-10-24 (1d ago)
config.json type=molmoact2; train_config.json dataset lilkm/bi_rebot_pick_and_place_cubes whose meta/info.json robot_type=bi_rebot_b601_follower (bimanual B601-DM, 50 episodes).
https://huggingface.co/lilkm/molmoact2_bi_rebot
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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[](https://caniembody.pages.dev/compat/rebot-b601/molmoact2)<iframe src="https://caniembody.pages.dev/embed/rebot-b601/molmoact2" width="380" height="132" style="border:0" title="MolmoAct2 on reBot Arm B601-DM | CanIEmbody"></iframe>History
- 2026-10-25 fecccd1 Initial release: robot policy compatibility matrix · Danilo Znamerovszkij