magpie_tts_multilingual_357m
magpie_tts_multilingual_357m (nvidia, 2025) is an speech-and-audio model. magpie_tts_multilingual_357m is an open-weights audio model.
by nvidia
Best for
Ways to use magpie_tts_multilingual_357m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your nvidia API key. osFoundry discovers magpie_tts_multilingual_357m 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
magpie_tts_multilingual_357m 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.
magpie_tts_multilingual_357m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about magpie_tts_multilingual_357m
Is magpie_tts_multilingual_357m free to use?
magpie_tts_multilingual_357m 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 magpie_tts_multilingual_357m 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 magpie_tts_multilingual_357m locally?
Yes. magpie_tts_multilingual_357m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is magpie_tts_multilingual_357m best at?
magpie_tts_multilingual_357m is well-suited to text to speech.
How do I use magpie_tts_multilingual_357m in osFoundry?
Paste your nvidia API key in the key dialog (or deploy the open weights for self-hostable models), assign magpie_tts_multilingual_357m to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by nvidia on December 11, 2025. Source: https://huggingface.co/nvidia/magpie_tts_multilingual_357m