privacy-filter-multilingual-mlx
Released by OpenMed in 2026, privacy-filter-multilingual-mlx is an chat model. privacy-filter-multilingual-mlx is an open-weights chat model.
by OpenMed
Best for
Ways to use privacy-filter-multilingual-mlx in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your OpenMed API key. osFoundry discovers privacy-filter-multilingual-mlx 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
privacy-filter-multilingual-mlx 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.
privacy-filter-multilingual-mlx vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about privacy-filter-multilingual-mlx
Is privacy-filter-multilingual-mlx free to use?
privacy-filter-multilingual-mlx 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 privacy-filter-multilingual-mlx 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 privacy-filter-multilingual-mlx locally?
Yes. privacy-filter-multilingual-mlx is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is privacy-filter-multilingual-mlx best at?
privacy-filter-multilingual-mlx is well-suited to token classification.
How do I use privacy-filter-multilingual-mlx in osFoundry?
Paste your OpenMed API key in the key dialog (or deploy the open weights for self-hostable models), assign privacy-filter-multilingual-mlx to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by OpenMed on May 3, 2026. Source: https://huggingface.co/OpenMed/privacy-filter-multilingual-mlx