Parler_TTS_GGUF
Parler_TTS_GGUF (mmwillet2, 2025) is an speech-and-audio model. Parler_TTS_GGUF is an open-weights audio model.
by mmwillet2
Best for
Ways to use Parler_TTS_GGUF in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your mmwillet2 API key. osFoundry discovers Parler_TTS_GGUF 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
Parler_TTS_GGUF 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.
Parler_TTS_GGUF vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Parler_TTS_GGUF
Is Parler_TTS_GGUF free to use?
Parler_TTS_GGUF 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 Parler_TTS_GGUF 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 Parler_TTS_GGUF locally?
Yes. Parler_TTS_GGUF is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Parler_TTS_GGUF best at?
Parler_TTS_GGUF is well-suited to text to speech.
How do I use Parler_TTS_GGUF in osFoundry?
Paste your mmwillet2 API key in the key dialog (or deploy the open weights for self-hostable models), assign Parler_TTS_GGUF to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by mmwillet2 on April 15, 2025. Source: https://huggingface.co/mmwillet2/Parler_TTS_GGUF