Brain
An academic open-source vision-language-action model at 7B parameters. Multi-developer collaboration across Stanford, UC Berkeley, Toyota Research Institute, and Google DeepMind. Listed here as a research-model entity; architectural details should be firmed against the OpenVLA paper at build.
Research model · Maturity: Research · Open source
Machine-readable surfaces
- Markdown mirror: /brains/openvla.md
- RSS feed: /brains/openvla/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/brains/8ca71205-71ca-4036-8f26-1bb35217fa35
- Revision history: /brains/openvla/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Architecture
7B-parameter VLA. Architecture and training-data details pending firmer primary-source confirmation (OpenVLA paper at openvla.github.io and arXiv).
Key facts
- Thin-record depth note
- Architecture, parameter count, training-data composition should be firmed against the OpenVLA paper at openvla.github.io / arXiv. Entity carries verified-vs-claimed framing until firmed.
- Multi-developer collaboration
- Stanford + UC Berkeley + Toyota Research Institute + Google DeepMind (only Google DeepMind is attached as a registry developer; the academic institutions are not registry Companies)
- Powered platforms
- Research robot platforms; not a commercial-deployment brain
Developed by (1)
Common questions
- What is OpenVLA?
- An academic open-source vision-language-action model at 7B parameters. Multi-developer collaboration across Stanford, UC Berkeley, Toyota Research Institute, and Google DeepMind. Listed here as a research-model entity; architectural details should be firmed against the OpenVLA paper at build.
- Who developed OpenVLA?
- OpenVLA is credited to Google DeepMind on the DEPLOY registry. Each developer attribution is verified via primary sources.
- Is OpenVLA open source?
- Yes. OpenVLA is recorded as open-source / open-weights on the DEPLOY registry, meaning model weights or source code are publicly available.
- What type of AI is OpenVLA?
- OpenVLA is a research model, built on a 7B-parameter VLA. Architecture and training-data details pending firmer primary-source confirmation (OpenVLA paper at openvla.github.io and arXiv). architecture on the DEPLOY registry.
- What is OpenVLA's maturity stage?
- OpenVLA is at the research stage on the DEPLOY maturity ladder. Research stage means active development without commercial deployments on file.
- Which robots run on OpenVLA?
- No robot models on the DEPLOY registry are recorded as running OpenVLA. DEPLOY wires brain-to-model connections only when the wiring is verifiable from primary sources; absence may reflect pre-deployment or unverified manufacturer claims.
Sources (3)
- OpenVLA project page (firm at build) · https://openvla.github.io/
- https://arxiv.org/abs/2406.09246
- https://github.com/openvla/openvla
Methodology: Verified · 3 sources (no primary) · last reviewed 2026-05-30
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-05-30
Maturity + lifecycle
Maturity stage: research
Sources by quality tier
- 1
- unclassified
- Unclassified source
- 1
- preprint
- Preprint
- 1
- code-repository
- Code repository
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for OpenVLA.Canonical ID 8ca71205-71ca-4036-8f26-1bb35217fa35