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molmoact skillA

molmoact is agent-read markdown (skill) from nebius/nebius-physical-ai: Use when working on MolmoAct VLA fine-tuning/serving/evaluation workbench stages, MolmoAct policy configs, or the npa workbench molmoact 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

# MolmoAct

MolmoAct is the vision-language-action tool for fine-tuning, serving, and
evaluating MolmoAct VLA policies in npa.

The three core stages (`finetune`, `serve`, `eval`) are currently stubs:
they validate their arguments and return a plan-only manifest — actual
trainer/server/evaluator execution is not wired up yet (tracking issue
nebius/nebius-physical-ai#502). The base model (default
`allenai/MolmoAct-7B-O-0812`) 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 molmoact <finetune|serve|eval> --help`
- Python SDK: `npa.sdk.workbench.molmoact`
  (`finetune`, `serve`, `eval`)
- Workflow module: `npa.workflows.byof.molmoact_pipeline`
  (argument validation, stub-manifest plumbing, argparse entrypoint)

## Conventions

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

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How to install

Latest version
mdr add nebius/nebius-physical-ai/molmoact@git:20260924.c2a1622
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Versions

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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 (1393 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_ioyf3olbi6slxqqh
GET https://markdownregistry.com/api/v1/resolve?ref=nebius/nebius-physical-ai/molmoact
GET https://markdownregistry.com/api/v1/blob/cd273eddaa1f38a905cde61fbfcc6c9f8518a99771e84dcb988a853591765a5d

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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