TB_I
william-777's TB_I is a chat model. TB_I is an open-weights chat model.
by william-777
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use TB_I in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your william-777 API key. osFoundry discovers TB_I 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
TB_I 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.
TB_I vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about TB_I
Is TB_I free to use?
TB_I 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 TB_I 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 TB_I locally?
Yes. TB_I is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is TB_I best at?
TB_I is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use TB_I in osFoundry?
Paste your william-777 API key in the key dialog (or deploy the open weights for self-hostable models), assign TB_I to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by william-777 on April 26, 2026. Source: https://huggingface.co/william-777/TB_I