Local TTS model

TADA

Catalogue summary: LLM-based TTS built on Llama with a fully integrated audio tokenizer and decoder. Available in 1B (English) and 3B multilingual variants. Open-source weights on HuggingFace. Developed by Hume AI, specialists in expressive, emotion-aware voice.

Repository editorial metadata; verify comparative claims in the linked upstream material.

Apple Silicon readytext-to-speech generation8 languagesApache 2.0
Choose an app

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Catalogue quality
9.1/10
Catalogue speed
7.5/10
Model size
2 GB
Voices
Multiple + expressive control

Can TADA run locally?

TADA can generate speech locally for private voice workflows. Use the verified setup options on this page; no terminal command is required to choose the right path.

Apache 2.0 license. Still verify upstream usage notes before shipping.

multilingualemotionstreaming

Audio profile

Cat. quality
9.1
Cat. speed
7.5
Audio
8.6

Best fit

TADA is best for multilingual local speech generation.

Hardware: gpuapple

Model details

Type
Local TTS model
Family
tada
Latency
low
Formats
pytorchsafetensors
Languages
en, fr, de, es, it, pt, zh, ja
Context
Llama architecture, audio tokenizer + decoder

Install locally

01
Check runtimeConfirm the backend supports pytorch, safetensors on your machine.
02
Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.
03
Test locallyRun a short private audio prompt before moving into production workflows.

Good for

  • text-to-speech generation
  • Apple Silicon ready local workflows
  • multilingual, emotion, streaming

Watch before shipping

  • Validate pronunciation, latency and artifacts with your own voice samples.
  • Review the upstream license and acceptable-use notes.
  • Benchmark on your target CPU, Apple Silicon or GPU setup.

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