PE-Core-B-16
Built by timm, PE-Core-B-16 is an image-generation model. PE-Core-B-16 is an open-weights image model.
by timm
Best for
- zero shot image classification
Ways to use PE-Core-B-16 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your timm API key. osFoundry discovers PE-Core-B-16 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
PE-Core-B-16 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.
PE-Core-B-16 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about PE-Core-B-16
Is PE-Core-B-16 free to use?
PE-Core-B-16 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 PE-Core-B-16 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 PE-Core-B-16 locally?
Yes. PE-Core-B-16 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is PE-Core-B-16 best at?
PE-Core-B-16 is well-suited to zero shot image classification.
How do I use PE-Core-B-16 in osFoundry?
Paste your timm API key in the key dialog (or deploy the open weights for self-hostable models), assign PE-Core-B-16 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 July 22, 2025. Source: https://huggingface.co/timm/PE-Core-B-16