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shrg7/MolmoBot-Pi0-DROID-toys-absjoint-fullft
MolmoBot-Pi0-DROID-toys-absjoint-fullft is a robotics model from shrg7. Use it for the robotics task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Full (action-only) fine-tune of MolmoBot-Pi0-DROID on shrg7/droid-toys, with absolute joint-position action targets.
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Updated Jul 22, 2026
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.safetensors7 GB · 100%
How the weights are stored.
BF163.5B · 100%
From the Hugging Face model README
Full (action-only) fine-tune of MolmoBot-Pi0-DROID
on shrg7/droid-toys, with
absolute joint-position action targets.
val_action_loss = 0.0079model.safetensors — loads directly into a plain PI0Pytorchassets/ holds the norm stats; metadata.pt the run metadata| Config | molmobot_pi0_lerobot_droid_absjoint |
| Dataset | shrg7/droid-toys (LeRobot v3.0) — 31 episodes / 6,952 frames @15fps |
| Action repr | joint_absolute — targets are future absolute joint positions q[t+1], 8-dim (7 arm + gripper) |
| Action horizon | 16 |
| Cameras | exterior_1_left (exo) + wrist_left, 224×224 resize-with-pad |
| Trainable | everything except vision_tower (frozen via freeze_filter) |
| Batch | 64 × 2 grad-accum = 128 effective, 4× NVIDIA L40 |
| LR | 5e-5 constant (200-step warmup; peak_lr == decay_lr, so the cosine is flat) |
| Steps | 5,000 (~50 epochs), 11h25m |
| step | val_action_loss |
|---|---|
| 3500 | 0.0096 |
| 4000 | 0.0086 |
| 4500 | 0.0085 |
| 5000 | 0.0079 |
Val loss was still descending at the end of the schedule — this checkpoint is not converged, and a longer run should improve on it.
droid-toys is a small dataset (31 episodes). Treat this as a baseline for
comparison against the LoRA counterpart
(MolmoBot-Pi0-DROID-toys-absjoint-lora-r64),
which was trained on the same data with the same config, not as a
general-purpose policy.