Instructions to use aabyaneh/fasterwam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aabyaneh/fasterwam with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aabyaneh/fasterwam", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
FasterWAM checkpoints
Checkpoint collection for four real-world tasks and four model families.
Layout: <task|joint>/<model>/<run_id>/checkpoints/.
- Tasks:
fruit_pick,dish_utensil,place_cube,push_t. - Models:
fastwam,fasterwam(formerly FlashWAM),lingbot-va,pi0.5. jointis a top-level folder alongside the four tasks, for models trained on all tasks.- Task-specific runs sit directly under
<task>/<model>/.
Each run includes its original checkpoint format and inference/training metadata. Reserved folders contain a README; inspect run folders for available weights.
See CHECKPOINT_UPLOADS.md for the upload contract and commands, checkpoint_layout.json for the path schema, and hf_checkpoint_imports.json for pinned source revisions and file hashes. Imported run READMEs retain their original training and evaluation limitations; these historical runs are not asserted to use the current benchmark split.
Current joint FasterWAM โ September 19, 2026
Job 4414, epoch 30 is the current joint FasterWAM checkpoint, trained on all four datasets with corrected place_cube crops (dataset revision 4ad42310b4408ff08370124e680e3a20ad267b1e). Native checkpoint: step_087930.pt; 8 H200 GPUs; 360 train / 40 held-out episodes. Inference weights and matching config, normalization, task embeddings, source and validation provenance are included. The run stopped at its requested time limit after saving epoch 30; it did not complete the planned 50 epochs.
The previous joint FasterWAM run, job 4247, is preserved under joint/fasterwam/old/. Its place_cube crops were invalid and it is superseded by job 4414.
Imported archives
Completed local training runs
| Run | Native checkpoints | Final | Contents |
|---|---|---|---|
| fruit_pick/pi0.5/train90_job3977 | 5000, 10000, 15000, 16769 | 16769 | params and normalization (inference) |
| place_cube/fastwam/train90_scratch_job4135 | 2620, 7860, 13100 | 13100 | Three inference checkpoints and validation results |
| joint/fastwam/train90_joint_job4146 | 29310, 58620, 87930 | 87930 | Three inference checkpoints and validation results |
| place_cube/lingbot-va/train90_base_job4139 | 300, 1500, 3000 | 3000 | Three inference checkpoints and validation results |
| dish_utensil/pi0.5/train90_job4137 | 3557, 17789, 35579 | 35579 | Three inference checkpoints and validation results |
| place_cube/pi0.5/train90_job4138 | 785, 3929, 7859 | 7859 | Three inference checkpoints and validation results |
Latest update: three checkpoints per completed run from September 15โ16, 2026, spread across training and including the final checkpoint. See latest results for recorded metrics and evaluation limits.
The dataset repository is separate from this model repository. Original source licenses and terms continue to apply.
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