gemma-3-finetune
nahidhasan's gemma-3-finetune is a image-generation model. gemma-3-finetune is an open-weights image model.
by nahidhasan
Best for
Ways to use gemma-3-finetune in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your nahidhasan API key. osFoundry discovers gemma-3-finetune 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
gemma-3-finetune 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.
gemma-3-finetune vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about gemma-3-finetune
Is gemma-3-finetune free to use?
gemma-3-finetune 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 gemma-3-finetune 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 gemma-3-finetune locally?
Yes. gemma-3-finetune is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is gemma-3-finetune best at?
gemma-3-finetune is well-suited to image text to text.
How do I use gemma-3-finetune in osFoundry?
Paste your nahidhasan API key in the key dialog (or deploy the open weights for self-hostable models), assign gemma-3-finetune to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by nahidhasan on May 6, 2026. Source: https://huggingface.co/nahidhasan/gemma-3-finetune