Decision summary
VLA training
Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.
Run a checkpoint loading smoke test before marking the model pipeline-tested.
Evidence profile
A visual read of adoption evidence. Scores describe catalog evidence readiness, not task performance.
Published evaluation
5/6
dimensions scored
Unknown evidence remains visible and is never treated as a zero.
Why these scores
The strongest decision reasons behind the evidence profile.
Artifact availability
UsefulCheckpoint files were verified in the official repository metadata.
Training and loading reproducibility
UsefulConfiguration files are present; runtime loading is not tested.
Evaluation evidence
UnknownNo structured evaluation evidence has been verified.
Data requirements
Declared loop-data needs, missing evidence, and the next checks that matter.
Observation / ego video
video · image-text-to-text
Language intent / task phase
language
Action / robot state
actions · feature-extraction
Critical gaps
Core categories are represented. Interface alignment and data quality still require verification.
Linked datasets
Signal-level links only. Verify runtime interfaces before use.
No related catalog datasets are linked to this model yet.
More evidenceShowHide
Additional decision dimensions
Access and license are declared by the source.
75 · c85Required signal categories are structured; exact tensor and action interfaces still need verification.
76 · c70Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.
70 · c55Artifact facts
- availability
- metadata_verified
- open
- repository metadata
- license
- metadata_verified
- mit
- Hugging Face model card license metadata
- repository.files
- metadata_verified
- .gitattributes · README.md · added_tokens.json · config.json · configuration_prismatic.py · generation_config.json · model-00001-of-00003.safetensors · model-00002-of-00003.safetensors · model-00003-of-00003.safetensors · model.safetensors.index.json · modeling_prismatic.py · preprocessor_config.json · processing_prismatic.py · processor_config.json · special_tokens_map.json · tokenizer.json · tokenizer.model · tokenizer_config.json
- repository file tree
- dataset.signals
- official_claim
- video · actions · language · feature-extraction · image-text-to-text
- README/card declaration
- dataset.scale
- metadata_verified
- label: repository size · value: 15.09GB
- repository blob sizes
- model.weight_files
- metadata_verified
- repository: openvla/openvla-7b · count: 3 · sample files: model-00001-of-00003.safetensors · model-00002-of-00003.safetensors · model-00003-of-00003.safetensors
- Hugging Face model metadata siblings
- model.checkpoint_files
- metadata_verified
- repository: openvla/openvla-7b · count: 3 · sample files: model-00001-of-00003.safetensors · model-00002-of-00003.safetensors · model-00003-of-00003.safetensors
- Hugging Face model metadata checkpoint files
- model.config_files
- metadata_verified
- repository: openvla/openvla-7b · count: 5 · sample files: config.json · generation_config.json · preprocessor_config.json · processor_config.json · tokenizer_config.json
- Hugging Face model metadata siblings
- model.required_signals
- official_claim
- video · actions · language · feature-extraction · image-text-to-text
- Official model documentation and curated signal mapping
- model.training_data
- official_claim
- dataset: Open X-Embodiment · robot manipulation episodes: 970000
- OpenVLA-7B model card, model summary
- license.weights
- metadata_verified
- mit
- Hugging Face model card license metadata
- release_timing
- metadata_verified
- 2024-06-10T16:35:59.000Z
- Existing published Catalog release-date evidence