RETFound_MAE
Released by bitfount in 2023, RETFound_MAE is an image-generation model. RETFound_MAE is an open-weights image model.
by bitfount
Best for
Ways to use RETFound_MAE in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your bitfount API key. osFoundry discovers RETFound_MAE 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
RETFound_MAE 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.
RETFound_MAE vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about RETFound_MAE
Is RETFound_MAE free to use?
RETFound_MAE 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 RETFound_MAE 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 RETFound_MAE locally?
Yes. RETFound_MAE is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is RETFound_MAE best at?
RETFound_MAE is well-suited to image classification.
How do I use RETFound_MAE in osFoundry?
Paste your bitfount API key in the key dialog (or deploy the open weights for self-hostable models), assign RETFound_MAE to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by bitfount on October 4, 2023. Source: https://huggingface.co/bitfount/RETFound_MAE