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OpenVLA-OFT

OpenVLA collaboration

An optimized OpenVLA fine-tuning recipe with continuous action chunks, multi-image input, and faster high-frequency control.

Code
Available
Weights
Not listed
Checkpoint
Not listed
License
MIT

Decision summary

Best for

Fine-tuning speed

Main blocker

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

Next check

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

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. 70
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

observation · camera pose

required

Language intent / task phase

language intent

required

Action / robot state

actions · robot state

required

Sim-real / embodiment metadata

robot state · camera pose

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
More evidenceShow

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 · c70
Deployment readinessUnknown

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

· c10

Artifact facts

release_year
official_claim
2025
curated official source year
model.required_signals
official_claim
observation · language intent · actions · robot state · camera pose
Official model documentation and curated signal mapping
repository.code
metadata_verified
repository: moojink/openvla-oft · default branch: main · archived: false · code file count: 101 · sample files: experiments/robot/aloha/aloha_utils.py · experiments/robot/aloha/constants.py · experiments/robot/aloha/preprocess_split_aloha_data.py · experiments/robot/aloha/real_env.py · experiments/robot/aloha/robot_utils.py · experiments/robot/aloha/run_aloha_eval.py · 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/__init__.py · prismatic/conf/__init__.py · prismatic/conf/datasets.py · prismatic/conf/models.py · prismatic/conf/vla.py · prismatic/extern/__init__.py · prismatic/extern/hf/__init__.py · prismatic/extern/hf/configuration_prismatic.py · prismatic/extern/hf/modeling_prismatic.py
GitHub repository metadata and recursive tree
license.code
metadata_verified
MIT
GitHub repository SPDX license metadata
license
metadata_verified
MIT
GitHub repository SPDX license metadata
release_timing
metadata_verified
2025-02-28T00:57:03.000Z
GitHub repository metadata created_at

Additional references

OpenBot notes

  • Treat as an OpenVLA release/recipe in the future series schema, despite the current flat static index.

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