Instructions to use Dongkkka/Task_000759_FLOWER_B200_bs8_step10000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Dongkkka/Task_000759_FLOWER_B200_bs8_step10000 with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Task 000759 FLOWER VLA - B200 - step 10000
FLOWER VLA fine-tuned on the ROBOTIS SG2 Task 000759 LeRobot v3 dataset.
Training contract
- Upstream:
intuitive-robots/flower_vla_calvinatacb32ee85719e51aa94139b184c64b1b29f11d33 - GPU: NVIDIA B200 MIG 3g.90gb
- Precision: BF16 mixed precision
- Batch size: 8
- Checkpoint step: 10,000
- Optimizer: AdamW
- Learning rate: 2e-5
- State/action: 22D / 22D
- Action horizon: 10
- Cameras: left head, left wrist, right wrist
- Dataset: 98 episodes, 10,578 frames
- Validation and robot rollout: disabled during training
- Base weights: official FLOWER 360000-step checkpoint
The SG2 action/proprioception heads and the six DiT layers absent from the public 12-layer checkpoint were initialized for this fine-tuning setup. The compatible Florence-2 and FLOWER weights were retained.
model.ckpt is a full PyTorch Lightning checkpoint containing model, EMA,
optimizer, scheduler, and global-step state. Offline evaluation only; this
repository does not authorize robot actuation.