DeepFilterNet3-CoreML
DeepFilterNet3-CoreML (aufklarer, 2026) is an speech-and-audio model. DeepFilterNet3-CoreML is an open-weights audio model.
by aufklarer
Best for
Ways to use DeepFilterNet3-CoreML in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your aufklarer API key. osFoundry discovers DeepFilterNet3-CoreML 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
DeepFilterNet3-CoreML 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.
DeepFilterNet3-CoreML vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about DeepFilterNet3-CoreML
Is DeepFilterNet3-CoreML free to use?
DeepFilterNet3-CoreML 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 DeepFilterNet3-CoreML 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 DeepFilterNet3-CoreML locally?
Yes. DeepFilterNet3-CoreML is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is DeepFilterNet3-CoreML best at?
DeepFilterNet3-CoreML is well-suited to audio to audio.
How do I use DeepFilterNet3-CoreML in osFoundry?
Paste your aufklarer API key in the key dialog (or deploy the open weights for self-hostable models), assign DeepFilterNet3-CoreML to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by aufklarer on March 4, 2026. Source: https://huggingface.co/aufklarer/DeepFilterNet3-CoreML