Uni3C
ewrfcas's Uni3C is a chat model. Uni3C is an open-weights chat model.
by ewrfcas
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use Uni3C in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ewrfcas API key. osFoundry discovers Uni3C 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
Uni3C 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.
Uni3C vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Uni3C
Is Uni3C free to use?
Uni3C 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 Uni3C 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 Uni3C locally?
Yes. Uni3C is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Uni3C best at?
Uni3C is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use Uni3C in osFoundry?
Paste your ewrfcas API key in the key dialog (or deploy the open weights for self-hostable models), assign Uni3C to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ewrfcas on May 20, 2025. Source: https://huggingface.co/ewrfcas/Uni3C