gemma-baseline
gemma-baseline is a chat model from David0132, released April 17, 2026. gemma-baseline is an open-weights chat model.
by David0132
Best for
Ways to use gemma-baseline in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your David0132 API key. osFoundry discovers gemma-baseline 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
gemma-baseline 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.
gemma-baseline vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about gemma-baseline
Is gemma-baseline free to use?
gemma-baseline 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 gemma-baseline 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 gemma-baseline locally?
Yes. gemma-baseline is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is gemma-baseline best at?
gemma-baseline is well-suited to text generation.
How do I use gemma-baseline in osFoundry?
Paste your David0132 API key in the key dialog (or deploy the open weights for self-hostable models), assign gemma-baseline to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by David0132 on April 17, 2026. Source: https://huggingface.co/David0132/gemma-baseline