Qemma-GEI
Released by reaperdoesntknow in 2025, Qemma-GEI is an chat model. Qemma-GEI is an open-weights chat model.
by reaperdoesntknow
Best for
Ways to use Qemma-GEI in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your reaperdoesntknow API key. osFoundry discovers Qemma-GEI 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
Qemma-GEI 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.
Qemma-GEI vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qemma-GEI
Is Qemma-GEI free to use?
Qemma-GEI 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 Qemma-GEI 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 Qemma-GEI locally?
Yes. Qemma-GEI is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qemma-GEI best at?
Qemma-GEI is well-suited to text generation.
How do I use Qemma-GEI in osFoundry?
Paste your reaperdoesntknow API key in the key dialog (or deploy the open weights for self-hostable models), assign Qemma-GEI to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by reaperdoesntknow on November 9, 2025. Source: https://huggingface.co/reaperdoesntknow/Qemma-GEI