gemma3-vision-encoder
hi-wesley's gemma3-vision-encoder is a image-generation model. gemma3-vision-encoder is an open-weights image model.
by hi-wesley
Best for
Ways to use gemma3-vision-encoder in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your hi-wesley API key. osFoundry discovers gemma3-vision-encoder 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
gemma3-vision-encoder 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.
gemma3-vision-encoder vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| gemma3-vision-encoder | hi-wesley | — | — | Free (local) | Yes |
| OmniRad-small | Snarcy | — | — | Free (local) | Yes |
| nunchaku-sdxl | nunchaku-ai | — | — | Free (local) | Yes |
| MonkeyOCR | echo840 | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about gemma3-vision-encoder
Is gemma3-vision-encoder free to use?
gemma3-vision-encoder 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 gemma3-vision-encoder 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 gemma3-vision-encoder locally?
Yes. gemma3-vision-encoder is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is gemma3-vision-encoder best at?
gemma3-vision-encoder is well-suited to image feature extraction.
How do I use gemma3-vision-encoder in osFoundry?
Paste your hi-wesley API key in the key dialog (or deploy the open weights for self-hostable models), assign gemma3-vision-encoder to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by hi-wesley on August 17, 2025. Source: https://huggingface.co/hi-wesley/gemma3-vision-encoder