# Meituan-AutoML/MobileVLM

Strong and Open Vision Language Assistant for Mobile Devices

Repository: https://github.com/Meituan-AutoML/MobileVLM
Canonical: https://ross.abutalabs.com/products/mobilevlm
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-04-15T03:53:45+00:00

## Health v2 (maintenance only)
Score: 17/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 69
- inputs: {"age_days": 978, "days_push": 870, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1370, forks 89 (observed 2026-08-28T04:04:31.854643+00:00)

## What it is
MobileVLM is a family of compact vision language models (1.4B-3B parameters) designed to run efficiently on mobile devices, combining small language models with CLIP-style vision encoders via lightweight projectors. The repository provides model weights, training code, and evaluation tooling for the MobileVLM and MobileVLM V2 architectures.

## Use cases
- run a vision language model on a smartphone
- image captioning on mobile devices
- visual question answering with a small model
- build multimodal AI apps for edge devices
- research lightweight VLM architectures
- compare small VLMs on standard benchmarks

## When to choose
- you need multimodal (image+text) understanding on resource-constrained or mobile hardware
- you want open Apache-2.0 VLM weights at 1B-3B scale
- you are researching efficient VLM architectures and training recipes

## When to avoid
- you need state-of-the-art accuracy regardless of model size
- you need a hosted API rather than self-hosted model code
- your project requires non-Python or non-GPU environments

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, llm-inference, nlp, image-processing
- domain: artificial-intelligence, large-language-models, computer-vision, mobile-development
- platform: python, cross-platform
- tags: vision-language-model, multimodal, mobile-ai, on-device-inference, llava-style, mobile, gpu

## Member repositories
- Meituan-AutoML/MobileVLM (main) score 17

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:31.854643+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 2026-08-30T04:40:52.694666+00:00, confidence not recorded.
  - readme: https://github.com/Meituan-AutoML/MobileVLM (fetched 2026-08-28T04:04:31.854643+00:00, sha eba24355aa65)
- Data as of 2026-08-30T08:39:29.467469+00:00.