mobilenetv4_hybrid_large.ix_e600_r384_in1k
timm's mobilenetv4_hybrid_large.ix_e600_r384_in1k is a image-generation model. mobilenetv4_hybrid_large.ix_e600_r384_in1k is an open-weights image model.
by timm
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Ways to use mobilenetv4_hybrid_large.ix_e600_r384_in1k in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your timm API key. osFoundry discovers mobilenetv4_hybrid_large.ix_e600_r384_in1k 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
mobilenetv4_hybrid_large.ix_e600_r384_in1k 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.
mobilenetv4_hybrid_large.ix_e600_r384_in1k vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about mobilenetv4_hybrid_large.ix_e600_r384_in1k
Is mobilenetv4_hybrid_large.ix_e600_r384_in1k free to use?
mobilenetv4_hybrid_large.ix_e600_r384_in1k 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 mobilenetv4_hybrid_large.ix_e600_r384_in1k 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 mobilenetv4_hybrid_large.ix_e600_r384_in1k locally?
Yes. mobilenetv4_hybrid_large.ix_e600_r384_in1k is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is mobilenetv4_hybrid_large.ix_e600_r384_in1k best at?
mobilenetv4_hybrid_large.ix_e600_r384_in1k is well-suited to image classification.
How do I use mobilenetv4_hybrid_large.ix_e600_r384_in1k in osFoundry?
Paste your timm API key in the key dialog (or deploy the open weights for self-hostable models), assign mobilenetv4_hybrid_large.ix_e600_r384_in1k to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by timm on June 24, 2024. Source: https://huggingface.co/timm/mobilenetv4_hybrid_large.ix_e600_r384_in1k