VLAOpen

openvla

OpenVLA: An open-source vision-language-action model for robotic manipulation.

Code: Available
Weights: Unverified
Checkpoint: Unverified
License: MIT

Code Paper Model index A–Z

Decision summary

Best for

VLA training

Main blocker

Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.

Next check

Verify weight files, sizes, format, and loading instructions.

Release history

Source-backed release timing for this canonical model record.

Important releases

2024-06-13
Model series introduced
Release timing is recorded from the official source creation date.
Code

Evidence profile

A visual read of adoption evidence. Scores describe catalog evidence readiness, not task performance.

Published evaluation

3/6

dimensions scored

Unknown evidence remains visible and is never treated as a zero.

Access and governance75conf. 85

Artifact availability55conf. 55

Training and loading reproducibilityNot scoredconf. 15

Training data requirements76conf. 45

Evaluation evidenceNot scoredconf. 10

Deployment readinessNot scoredconf. 10

Why these scores

The strongest decision reasons behind the evidence profile.

Top 3 adoption signals

Artifact availability

Useful

Source files were verified, but public weights are not available.

55 · confidence 55

Training and loading reproducibility

Unknown

No verified loading configuration is available.

— · confidence 15

Evaluation evidence

Unknown

No structured evaluation evidence has been verified.

— · confidence 10

Data requirements

Declared loop-data needs, missing evidence, and the next checks that matter.

4 required categories

Observation / ego video

video

required

Language intent / task phase

language

required

Action / robot state

actions

required

Feedback / correction / failure

success/failure

required

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.

Browse datasets

No related catalog datasets are linked to this model yet.

More evidenceShow

Additional data signals

Sim-real / embodiment metadata

Descriptive model record

useful

Additional decision dimensions

Access and governanceUseful

Access and license are declared by the source.

75 · c85

Training data requirementsUseful

Required signal categories are structured; exact tensor and action interfaces still need verification.

76 · c45

Deployment readinessUnknown

Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.

— · c10

Artifact facts

availability: metadata_verified; open; repository metadata
license: metadata_verified; MIT; repository metadata: license
repository.files: metadata_verified; .gitignore · .pre-commit-config.yaml · LICENSE · Makefile · README.md · experiments · experiments/robot · experiments/robot/bridge · experiments/robot/bridge/bridgev2_utils.py · experiments/robot/bridge/run_bridgev2_eval.py · experiments/robot/bridge/widowx_env.py · experiments/robot/libero · experiments/robot/libero/libero_requirements.txt · experiments/robot/libero/libero_utils.py · experiments/robot/libero/regenerate_libero_dataset.py · experiments/robot/libero/run_libero_eval.py · experiments/robot/openvla_utils.py · experiments/robot/robot_utils.py · prismatic · prismatic/__init__.py · prismatic/conf · prismatic/conf/__init__.py · prismatic/conf/datasets.py · prismatic/conf/models.py · prismatic/conf/vla.py · prismatic/extern · prismatic/extern/__init__.py · prismatic/extern/hf · prismatic/extern/hf/__init__.py · prismatic/extern/hf/configuration_prismatic.py · prismatic/extern/hf/modeling_prismatic.py · prismatic/extern/hf/processing_prismatic.py · prismatic/models · prismatic/models/__init__.py · prismatic/models/backbones · prismatic/models/backbones/__init__.py · prismatic/models/backbones/llm · prismatic/models/backbones/llm/__init__.py · prismatic/models/backbones/llm/base_llm.py · prismatic/models/backbones/llm/llama2.py · prismatic/models/backbones/llm/mistral.py · prismatic/models/backbones/llm/phi.py · prismatic/models/backbones/llm/prompting · prismatic/models/backbones/llm/prompting/__init__.py · prismatic/models/backbones/llm/prompting/base_prompter.py · prismatic/models/backbones/llm/prompting/llama2_chat_prompter.py · prismatic/models/backbones/llm/prompting/mistral_instruct_prompter.py · prismatic/models/backbones/llm/prompting/phi_prompter.py · prismatic/models/backbones/llm/prompting/vicuna_v15_prompter.py · prismatic/models/backbones/vision · prismatic/models/backbones/vision/__init__.py · prismatic/models/backbones/vision/base_vision.py · prismatic/models/backbones/vision/clip_vit.py · prismatic/models/backbones/vision/dinoclip_vit.py · prismatic/models/backbones/vision/dinosiglip_vit.py · prismatic/models/backbones/vision/dinov2_vit.py · prismatic/models/backbones/vision/in1k_vit.py · prismatic/models/backbones/vision/siglip_vit.py · prismatic/models/load.py · prismatic/models/materialize.py · prismatic/models/registry.py · prismatic/models/vlas · prismatic/models/vlas/__init__.py · prismatic/models/vlas/openvla.py · prismatic/models/vlms · prismatic/models/vlms/__init__.py · prismatic/models/vlms/base_vlm.py · prismatic/models/vlms/prismatic.py · prismatic/overwatch · prismatic/overwatch/__init__.py · prismatic/overwatch/overwatch.py · prismatic/preprocessing · prismatic/preprocessing/__init__.py · prismatic/preprocessing/datasets · prismatic/preprocessing/datasets/__init__.py · prismatic/preprocessing/datasets/datasets.py · prismatic/preprocessing/download.py · prismatic/preprocessing/materialize.py · prismatic/py.typed · prismatic/training · prismatic/training/__init__.py · prismatic/training/materialize.py · prismatic/training/metrics.py · prismatic/training/strategies · prismatic/training/strategies/__init__.py · prismatic/training/strategies/base_strategy.py · prismatic/training/strategies/ddp.py · prismatic/training/strategies/fsdp.py · prismatic/util · prismatic/util/__init__.py · prismatic/util/batching_utils.py · prismatic/util/data_utils.py · prismatic/util/nn_utils.py · prismatic/util/torch_utils.py · prismatic/vla · prismatic/vla/__init__.py · prismatic/vla/action_tokenizer.py · prismatic/vla/datasets · prismatic/vla/datasets/__init__.py · prismatic/vla/datasets/datasets.py · prismatic/vla/datasets/rlds · prismatic/vla/datasets/rlds/__init__.py · prismatic/vla/datasets/rlds/dataset.py · prismatic/vla/datasets/rlds/obs_transforms.py · prismatic/vla/datasets/rlds/oxe · prismatic/vla/datasets/rlds/oxe/__init__.py · prismatic/vla/datasets/rlds/oxe/configs.py · prismatic/vla/datasets/rlds/oxe/materialize.py · prismatic/vla/datasets/rlds/oxe/mixtures.py · prismatic/vla/datasets/rlds/oxe/transforms.py · prismatic/vla/datasets/rlds/oxe/utils · prismatic/vla/datasets/rlds/oxe/utils/droid_utils.py · prismatic/vla/datasets/rlds/traj_transforms.py · prismatic/vla/datasets/rlds/utils · prismatic/vla/datasets/rlds/utils/__init__.py · prismatic/vla/datasets/rlds/utils/data_utils.py · prismatic/vla/datasets/rlds/utils/goal_relabeling.py · prismatic/vla/datasets/rlds/utils/task_augmentation.py · prismatic/vla/materialize.py · pyproject.toml · requirements-min.txt · scripts · scripts/additional-datasets · scripts/additional-datasets/lrv_instruct.py · scripts/additional-datasets/lvis_instruct_4v.py · scripts/extern · scripts/extern/convert_prismatic_weights_to_hf.py · scripts/extern/verify_prismatic.py · scripts/generate.py · scripts/preprocess.py · scripts/pretrain.py · vla-scripts · vla-scripts/deploy.py · vla-scripts/extern · vla-scripts/extern/convert_openvla_weights_to_hf.py · vla-scripts/extern/verify_openvla.py · vla-scripts/finetune.py · vla-scripts/train.py; repository file tree
repository.code: metadata_verified; true; repository source files
dataset.signals: official_claim; video · actions · language · success/failure · force/tactile; README/card declaration
dataset.schema: metadata_verified; true; card dataset_info or manifest
discovery.source: secondary_claim; name: worldbench/awesome-embodied-data-pyramid · trust: discovery_only · revision: 0568599d0619f20946e8089f6a941d0d9e30b690; #table-embodied-foundation-models-vla-wam, table 17, row 4
discovery.raw_fields: secondary_claim; Time: 2024.6 · Method: OpenVLA · Institution: Stanford University · Project: [![Website](https://img.shields.io/badge/Website-0A7DBD)](https://openvla.github.io/) · Model: VLA · Data: ![Real][data-real]; #table-embodied-foundation-models-vla-wam, table 17, row 4
model.reported_release_time: secondary_claim; 2024.6; #table-embodied-foundation-models-vla-wam, table 17, row 4
model.type: secondary_claim; VLA; #table-embodied-foundation-models-vla-wam, table 17, row 4
model.training_data_layers: secondary_claim; real_robot; #table-embodied-foundation-models-vla-wam, table 17, row 4
model.institution: secondary_claim; Stanford University; #table-embodied-foundation-models-vla-wam, table 17, row 4
catalog.curation: secondary_claim; tier: editorial_focus · collection: WorldBench Awesome Embodied Data Pyramid · policy: human_curated_priority; #table-embodied-foundation-models-vla-wam, table 17, row 4

Additional references

ProjectProject

openvla

Decision summary

Release history

Model series introduced

Evidence profile

Why these scores

Artifact availability

Training and loading reproducibility

Evaluation evidence

Data requirements

Observation / ego video

Language intent / task phase

Action / robot state

Feedback / correction / failure

Critical gaps

Linked datasets

Additional data signals

Additional decision dimensions

Artifact facts

Additional references