Tri-21B-Think
Released by trillionlabs in 2026, Tri-21B-Think is a 21 billion parameter chat model. Tri-21B-Think is an open-weights chat model with roughly 21 billion parameters.
by trillionlabs · 21B parameters
Best for
Ways to use Tri-21B-Think in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your trillionlabs API key. osFoundry discovers Tri-21B-Think 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
Tri-21B-Think 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.
What hardware can run Tri-21B-Think
Tri-21B-Think runs on a single 16GB consumer GPU (~13 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~51 GB).
Tri-21B-Think vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Tri-21B-Think
Is Tri-21B-Think free to use?
Tri-21B-Think 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 Tri-21B-Think commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does Tri-21B-Think need?
Approximately 13 GB at Q4 quantisation, or 51 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Tri-21B-Think locally?
Yes. Tri-21B-Think is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Tri-21B-Think best at?
Tri-21B-Think is well-suited to text generation.
How do I use Tri-21B-Think in osFoundry?
Paste your trillionlabs API key in the key dialog (or deploy the open weights for self-hostable models), assign Tri-21B-Think to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by trillionlabs on February 18, 2026. Source: https://huggingface.co/trillionlabs/Tri-21B-Think