Tri-1.8B-Translation
Tri-1.8B-Translation is a 2 billion parameter chat model from trillionlabs, released July 30, 2025. Tri-1.8B-Translation is an open-weights chat model with roughly 2 billion parameters.
by trillionlabs · 2B parameters
Best for
Ways to use Tri-1.8B-Translation in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your trillionlabs API key. osFoundry discovers Tri-1.8B-Translation 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-1.8B-Translation 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-1.8B-Translation
Tri-1.8B-Translation runs on a single 16GB consumer GPU (~2 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~5 GB).
Tri-1.8B-Translation vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Tri-1.8B-Translation
Is Tri-1.8B-Translation free to use?
Tri-1.8B-Translation 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-1.8B-Translation 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-1.8B-Translation need?
Approximately 2 GB at Q4 quantisation, or 5 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Tri-1.8B-Translation locally?
Yes. Tri-1.8B-Translation is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Tri-1.8B-Translation best at?
Tri-1.8B-Translation is well-suited to translation.
How do I use Tri-1.8B-Translation in osFoundry?
Paste your trillionlabs API key in the key dialog (or deploy the open weights for self-hostable models), assign Tri-1.8B-Translation 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 July 30, 2025. Source: https://huggingface.co/trillionlabs/Tri-1.8B-Translation