gemma_4_distilled_FAQ_FP16
Built by ha4lool, gemma_4_distilled_FAQ_FP16 is an image-generation model. gemma_4_distilled_FAQ_FP16 is an open-weights image model.
by ha4lool
Best for
Ways to use gemma_4_distilled_FAQ_FP16 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ha4lool API key. osFoundry discovers gemma_4_distilled_FAQ_FP16 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_distilled_FAQ_FP16 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_4_distilled_FAQ_FP16 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_distilled_FAQ_FP16
Is gemma_4_distilled_FAQ_FP16 free to use?
gemma_4_distilled_FAQ_FP16 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_distilled_FAQ_FP16 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_4_distilled_FAQ_FP16 locally?
Yes. gemma_4_distilled_FAQ_FP16 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is gemma_4_distilled_FAQ_FP16 best at?
gemma_4_distilled_FAQ_FP16 is well-suited to image text to text.
How do I use gemma_4_distilled_FAQ_FP16 in osFoundry?
Paste your ha4lool API key in the key dialog (or deploy the open weights for self-hostable models), assign gemma_4_distilled_FAQ_FP16 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ha4lool on May 5, 2026. Source: https://huggingface.co/ha4lool/gemma_4_distilled_FAQ_FP16