LocalClaw/TTS/Qwen3-TTS (0.6B / 1.7B)
Local TTS model

Qwen3-TTS (0.6B / 1.7B)

Catalogue summary: Qwen Team's open-source 0.6B and 1.7B TTS series for streaming speech, voice design and short-reference voice cloning across 10 documented languages.

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

GPU recommendedtext-to-speech generation10 languagesApache-2.0
Choose an app

Start with Recommended. No terminal commands are shown.

Compare speech models
Open official setupRecommended verified starting pointOpen Python packageVerified package page without exposing a commandCheck my machineOptional: verify the fit with your saved hardware
Catalogue quality
9.5/10
Catalogue speed
8.5/10
Model size
2.5-4.52 GB
Voices
Multiple speakers + voice cloning

Official audio example

Play the official source sample directly below. The file remains on the project server and is not hosted by LocalClaw.

Can Qwen3-TTS (0.6B / 1.7B) run locally?

Qwen3-TTS (0.6B / 1.7B) 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.

Upstream source
streamingrealtimemultilingualemotion

Audio profile

Cat. quality
9.5
Cat. speed
8.5
Audio
9.2

Best fit

Qwen3-TTS (0.6B / 1.7B) is best for fast on-device voice responses and local assistants.

Hardware: gpu

Model details

Type
Local TTS model
Family
qwen
Latency
ultra-low
Formats
pytorchsafetensors
Languages
en, zh, fr, de, es, it, pt, ru, ja, ko
Context
Emotion tags, speed control

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
  • streaming, realtime, 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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