mbert-aes
mbert-aes is a chat model from jessicaalmalia, released April 24, 2026. mbert-aes is an open-weights chat model.
by jessicaalmalia
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use mbert-aes in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your jessicaalmalia API key. osFoundry discovers mbert-aes 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
mbert-aes 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.
mbert-aes vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about mbert-aes
Is mbert-aes free to use?
mbert-aes 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 mbert-aes 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 mbert-aes locally?
Yes. mbert-aes is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is mbert-aes best at?
mbert-aes is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use mbert-aes in osFoundry?
Paste your jessicaalmalia API key in the key dialog (or deploy the open weights for self-hostable models), assign mbert-aes to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by jessicaalmalia on April 24, 2026. Source: https://huggingface.co/jessicaalmalia/mbert-aes