Local TTS model

MOSS-TTS

Catalogue summary: Canonical OpenMOSS full speech generation family with 8B and 1.7B checkpoints for multilingual zero-shot voice cloning, emotion control and long-text generation. Heavier than Nano, but materially better for production-quality local voice work.

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

GPU recommendedtext-to-speech generation20 languagesApache 2.0
Choose an app

Start with Recommended. No terminal commands are shown.

Compare speech models

Desktop app links require the app to be installed. If nothing opens, LocalClaw will show app-download and model-file fallbacks.

Catalogue quality
9.2/10
Catalogue speed
6.8/10
Model size
16 GB
Voices
Zero-shot cloning, voice conversion and long-form speech

Can MOSS-TTS run locally?

MOSS-TTS 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.

cloningstreamingmultilingualemotioncontrollable

Audio profile

Cat. quality
9.2
Cat. speed
6.8
Audio
8.4

Best fit

MOSS-TTS is best for local voice cloning and expressive speech generation.

Hardware: gpuapple

Model details

Type
Local TTS model
Family
moss
Latency
medium
Formats
pytorchsafetensors
Languages
zh, en, de, es, fr, ja, it, hu, ko, ru, fa, ar, pl, pt, cs, da, sv, el, tr
Context
8B and 1.7B open-weight checkpoints, 20 languages, 24 kHz output

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
  • GPU recommended local workflows
  • cloning, streaming, multilingual

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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