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MODEL Listed

Qwen3 TTS 12Hz 1.7B VoiceDesign

Qwen3 TTS 12Hz 1.7B VoiceDesign is a lightweight, high-efficiency text-to-speech model designed for developers needing low-latency audio synthesis. At 1.7B parameters, it strikes a balance between computational overhead and prosodic quality, making it suitable for edge deployment or scalable cloud microservices. Unlike traditional TTS engines, this model focuses on 'VoiceDesign,' allowing for more nuanced control over vocal characteristics and emotional inflection. It integrates easily into existing AI pipelines via a standard Apache-2.0 license, offering a flexible alternative to proprietary APIs for real-time conversational agents, accessibility tools, and automated content generation where natural-sounding cadence is critical.

Qwentext-to-speech
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01 / MODEL CARD

Model card

Qwen3 TTS 12Hz 1.7B VoiceDesign is a lightweight, high-efficiency text-to-speech model designed for developers needing low-latency audio synthesis. At 1.7B parameters, it strikes a balance between computational overhead and prosodic quality, making it suitable for edge deployment or scalable cloud microservices. Unlike traditional TTS engines, this model focuses on 'VoiceDesign,' allowing for more nuanced control over vocal characteristics and emotional inflection. It integrates easily into existing AI pipelines via a standard Apache-2.0 license, offering a flexible alternative to proprietary APIs for real-time conversational agents, accessibility tools, and automated content generation where natural-sounding cadence is critical.

Model typetext-to-speech
ProviderQwen
Licenseapache-2.0
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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