Gemma-4-26B-Backup
Built by SOURAV11318, Gemma-4-26B-Backup is a 26 billion parameter image-generation model. Gemma-4-26B-Backup is an open-weights image model with roughly 26 billion parameters.
by SOURAV11318 · 26B parameters
Best for
Ways to use Gemma-4-26B-Backup in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your SOURAV11318 API key. osFoundry discovers Gemma-4-26B-Backup 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-4-26B-Backup 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.
What hardware can run Gemma-4-26B-Backup
Gemma-4-26B-Backup runs on a single 16GB consumer GPU (~16 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~63 GB).
Gemma-4-26B-Backup vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Gemma-4-26B-Backup
Is Gemma-4-26B-Backup free to use?
Gemma-4-26B-Backup 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-4-26B-Backup commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does Gemma-4-26B-Backup need?
Approximately 16 GB at Q4 quantisation, or 63 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Gemma-4-26B-Backup locally?
Yes. Gemma-4-26B-Backup is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Gemma-4-26B-Backup best at?
Gemma-4-26B-Backup is well-suited to image text to text.
How do I use Gemma-4-26B-Backup in osFoundry?
Paste your SOURAV11318 API key in the key dialog (or deploy the open weights for self-hostable models), assign Gemma-4-26B-Backup to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by SOURAV11318 on April 19, 2026. Source: https://huggingface.co/SOURAV11318/Gemma-4-26B-Backup