room_reader_gemma_4_rav2
Released by ksvslk in 2026, room_reader_gemma_4_rav2 is an image-generation model. room_reader_gemma_4_rav2 is an open-weights image model.
by ksvslk
Best for
Ways to use room_reader_gemma_4_rav2 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ksvslk API key. osFoundry discovers room_reader_gemma_4_rav2 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
room_reader_gemma_4_rav2 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.
room_reader_gemma_4_rav2 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about room_reader_gemma_4_rav2
Is room_reader_gemma_4_rav2 free to use?
room_reader_gemma_4_rav2 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 room_reader_gemma_4_rav2 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 room_reader_gemma_4_rav2 locally?
Yes. room_reader_gemma_4_rav2 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is room_reader_gemma_4_rav2 best at?
room_reader_gemma_4_rav2 is well-suited to image text to text.
How do I use room_reader_gemma_4_rav2 in osFoundry?
Paste your ksvslk API key in the key dialog (or deploy the open weights for self-hostable models), assign room_reader_gemma_4_rav2 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ksvslk on May 11, 2026. Source: https://huggingface.co/ksvslk/room_reader_gemma_4_rav2