Instructions to use argo11/openvla-oft-plus-domain-adapted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use argo11/openvla-oft-plus-domain-adapted with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("argo11/openvla-oft-plus-domain-adapted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
OpenVLA-OFT+ Domain-Adapted Checkpoints
This repository stores independently trained OpenVLA-OFT+ adapters and their action-head and proprio-projector components.
No production or submission candidate is published on main yet. Bounded
environment-validation checkpoints are kept on branches whose names start with
smoke-colab-20step.
Provenance
- Base model:
argo11/parc2026-openvla-oft-plus-base - Base revision:
0d923bf7af68b7eac9290cdd65f597cad7b48596 - Training dataset:
argo11/openvla-oft-plus-robustness-recovery - Dataset revision:
c3807717b10ca28c56630508262af7163ca59d45 - OpenVLA-OFT code revision:
e4287e94541f459edc4feabc4e181f537cd569a8
The dataset is published with license: other; its upstream-specific terms are
not fully resolved. Public availability does not by itself grant unrestricted
reuse. See the dataset card and third-party notices before using these weights.
The pinned base Model Card declares the base weights under MIT. Because the
training dataset's aggregate license remains unresolved, this repository also
uses license: other; the base-model MIT declaration does not resolve data or
third-party asset rights for the derived checkpoint.
No related online W&B run is claimed for the Colab smoke validation. Training uses W&B offline mode unless a later release documents another provenance path.
Model tree for argo11/openvla-oft-plus-domain-adapted
Base model
argo11/parc2026-openvla-oft-plus-base