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openvla skillA

openvla is agent-read markdown (skill) from nebius/nebius-physical-ai: Use when working on OpenVLA fine-tuning/serving/evaluation workbench stages, the OpenVLA-OFT LoRA recipe, or the npa workbench openvla CLI..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# OpenVLA

OpenVLA is the vision-language-action tool for fine-tuning, serving, and
evaluating OpenVLA policies (OpenVLA-OFT recipe) in npa.

The three core stages (`train`, `serve`, `eval`) are currently stubs: they
expose the intended argument signatures but exit with a clear "not yet
implemented" message until the OpenVLA-OFT fine-tuning pipeline lands
(tracking issue nebius/nebius-physical-ai#500). The base model (default
`openvla/openvla-7b`) is resolved at runtime through the HF Hub cache via
`npa.workbench.model_access` — weights are never bundled in the repo or
image.

## Interfaces

- CLI: `npa workbench openvla <train|serve|eval> --help`
- Python SDK: `npa.sdk.workbench.openvla`
  (`train`, `serve`, `eval`)
- Workflow module: `npa.workflows.byof.openvla_pipeline`
  (argument validation, upstream argv planning, argparse entrypoint)

## Conventions

- The CLI lives at `npa.cli.workbench.openvla` (multi-command package form for
  new tools); the SDK surface lives at `npa.sdk.workbench.openvla`.
- The `train` stage is the headline `openvla/train` three-tier contract
  (CLI <-> SDK <-> `workflows/testing/openvla-train.yaml`); `serve` and
…

Read the whole file at its exact version.

How to install

Latest version
mdr add nebius/nebius-physical-ai/openvla@git:20260924.3f2aba9
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mdr add nebius/nebius-physical-ai/openvla@sha256:1d48ac18a01c88c5

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Versions

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git:20260924.3f2aba9 latest2026-09-24 3f2aba9 1,389 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1389 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nebius/nebius-physical-ai · 32 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2mzw3qjxwpoq6k7i
GET https://markdownregistry.com/api/v1/resolve?ref=nebius/nebius-physical-ai/openvla
GET https://markdownregistry.com/api/v1/blob/1d48ac18a01c88c5b8137e3a2c74426e65b4993f16b185796ea637cf7a79983b

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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