sarvam-translate
Built by sarvamai, sarvam-translate is an chat model. sarvam-translate is an open-weights chat model.
by sarvamai
Best for
Ways to use sarvam-translate in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your sarvamai API key. osFoundry discovers sarvam-translate 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
sarvam-translate 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.
sarvam-translate vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about sarvam-translate
Is sarvam-translate free to use?
sarvam-translate 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 sarvam-translate 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 sarvam-translate locally?
Yes. sarvam-translate is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is sarvam-translate best at?
sarvam-translate is well-suited to translation.
How do I use sarvam-translate in osFoundry?
Paste your sarvamai API key in the key dialog (or deploy the open weights for self-hostable models), assign sarvam-translate to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by sarvamai on June 7, 2025. Source: https://huggingface.co/sarvamai/sarvam-translate