albertina_M4
albertina_M4 is a chat model from mrinaldi, released November 30, 2025. albertina_M4 is an open-weights chat model.
by mrinaldi
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use albertina_M4 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your mrinaldi API key. osFoundry discovers albertina_M4 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
albertina_M4 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.
albertina_M4 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about albertina_M4
Is albertina_M4 free to use?
albertina_M4 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 albertina_M4 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 albertina_M4 locally?
Yes. albertina_M4 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is albertina_M4 best at?
albertina_M4 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use albertina_M4 in osFoundry?
Paste your mrinaldi API key in the key dialog (or deploy the open weights for self-hostable models), assign albertina_M4 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by mrinaldi on November 30, 2025. Source: https://huggingface.co/mrinaldi/albertina_M4