# OpenHelix-Team/VLA-Adapter

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Repository: https://github.com/OpenHelix-Team/VLA-Adapter
Canonical: https://ross.abutalabs.com/products/vla-adapter
Homepage: https://vla-adapter.github.io/
Language: Python
License: MIT
License Family: permissive
Topics: embodied-ai, robotics, vision-language-action-model
Last push: 2026-03-19T14:09:37+00:00

## Health v2 (maintenance only)
Score: 50/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 73, release rhythm 35, longevity 24
- inputs: {"age_days": 347, "days_push": 167, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2294, forks 208 (observed 2026-08-28T04:06:35.044083+00:00)

## What it is
VLA-Adapter is the official implementation of a tiny-scale vision-language-action model that bridges vision-language representations to robot actions without large backbones or extensive pre-training. It includes checkpoints, LIBERO benchmark models, and real-world ALOHA deployment support.

## Use cases
- train a small vision-language-action model for robot manipulation
- deploy a VLA model on ALOHA hardware
- evaluate robot policies on the LIBERO benchmark
- run robot control inference without a 7B backbone
- fine-tune a lightweight VLA model for a robotic arm

## When to choose
- you need efficient robot manipulation policies without large-scale pre-training
- you want state-of-the-art LIBERO results with a tiny model
- you have limited GPU resources for VLA training

## When to avoid
- you need a general-purpose large VLA backbone
- your robot hardware is not yet among the supported platforms
- you need non-manipulation embodied tasks

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, robotics
- domain: robotics, machine-learning, artificial-intelligence
- platform: python
- tags: vision-language-action, embodied-ai, robot-manipulation, aloha, libero, tiny-scale-models, linux, gpu

## Member repositories
- OpenHelix-Team/VLA-Adapter (main) score 50

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:35.044083+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:40:24.265391+00:00, confidence not recorded.
  - readme: https://github.com/OpenHelix-Team/VLA-Adapter (fetched 2026-08-28T04:06:35.044083+00:00, sha 6f68577726be)
  - homepage: https://vla-adapter.github.io/ (fetched 2026-08-29T10:20:43.496881+00:00, sha 582a4d56a70d)
- Data as of 2026-08-30T08:39:29.467469+00:00.