TEN_Turn_Detection
TEN-framework's TEN_Turn_Detection is a chat model. TEN_Turn_Detection is an open-weights chat model.
by TEN-framework
Best for
Ways to use TEN_Turn_Detection in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your TEN-framework API key. osFoundry discovers TEN_Turn_Detection 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
TEN_Turn_Detection 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.
TEN_Turn_Detection vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about TEN_Turn_Detection
Is TEN_Turn_Detection free to use?
TEN_Turn_Detection 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 TEN_Turn_Detection 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 TEN_Turn_Detection locally?
Yes. TEN_Turn_Detection is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is TEN_Turn_Detection best at?
TEN_Turn_Detection is well-suited to text generation.
How do I use TEN_Turn_Detection in osFoundry?
Paste your TEN-framework API key in the key dialog (or deploy the open weights for self-hostable models), assign TEN_Turn_Detection to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by TEN-framework on April 28, 2025. Source: https://huggingface.co/TEN-framework/TEN_Turn_Detection