MedGemma_FineTuned
Built by Aakash010, MedGemma_FineTuned is an image-generation model. MedGemma_FineTuned is an open-weights image model.
by Aakash010
Best for
Ways to use MedGemma_FineTuned in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Aakash010 API key. osFoundry discovers MedGemma_FineTuned 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
MedGemma_FineTuned 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.
MedGemma_FineTuned vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about MedGemma_FineTuned
Is MedGemma_FineTuned free to use?
MedGemma_FineTuned 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 MedGemma_FineTuned 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 MedGemma_FineTuned locally?
Yes. MedGemma_FineTuned is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is MedGemma_FineTuned best at?
MedGemma_FineTuned is well-suited to image to image.
How do I use MedGemma_FineTuned in osFoundry?
Paste your Aakash010 API key in the key dialog (or deploy the open weights for self-hostable models), assign MedGemma_FineTuned to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Aakash010 on December 21, 2025. Source: https://huggingface.co/Aakash010/MedGemma_FineTuned