mobilenet_v3_small-mlxim
Built by mlx-vision, mobilenet_v3_small-mlxim is an image-generation model. mobilenet_v3_small-mlxim is an open-weights image model.
by mlx-vision
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Ways to use mobilenet_v3_small-mlxim in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your mlx-vision API key. osFoundry discovers mobilenet_v3_small-mlxim automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
mobilenet_v3_small-mlxim is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
mobilenet_v3_small-mlxim vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about mobilenet_v3_small-mlxim
Is mobilenet_v3_small-mlxim free to use?
mobilenet_v3_small-mlxim is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use mobilenet_v3_small-mlxim commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run mobilenet_v3_small-mlxim locally?
Yes. mobilenet_v3_small-mlxim is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is mobilenet_v3_small-mlxim best at?
mobilenet_v3_small-mlxim is well-suited to image classification.
How do I use mobilenet_v3_small-mlxim in osFoundry?
Paste your mlx-vision API key in the key dialog (or deploy the open weights for self-hostable models), assign mobilenet_v3_small-mlxim to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by mlx-vision on October 31, 2025. Source: https://huggingface.co/mlx-vision/mobilenet_v3_small-mlxim