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Latestekwek80M
ekwekText → Speech

Soprano-80M: A Tiny TTS Model Based on Qwen3

Developer 'ekwek' has released a compact 80-million-parameter text-to-speech model, notable for its unconventional use of a Qwen3 language model architecture.

Dec 17, 2025
UpdateApache 2.0
Soprano-80M

The field of open-source voice generation has a new and intriguing entry with the release of Soprano-80M, a text-to-speech (TTS) model with just 80 million parameters. Its small size makes it a compelling option for applications where computational resources are limited.

What sets Soprano-80M apart is its technical foundation. The model is built upon the Qwen3 language model architecture, an unusual choice for a TTS system that highlights the versatility of modern LLM backbones. By adapting a powerful language model for audio synthesis, the project explores an alternative path to generating high-quality speech.

The model's compact footprint is its key advantage. Small, efficient models like Soprano-80M are critical for enabling on-device or edge computing applications, from smart assistants to accessibility tools, without relying on cloud-based APIs. This lowers the barrier to entry for developers and researchers experimenting with voice synthesis.

Developer 'ekwek' has released the model under the permissive Apache 2.0 license, encouraging broad adoption for both research and commercial use. The complete model, along with instructions for getting started, is available now on its Hugging Face repository.

Sources

  • ekwek/Soprano-80M

    Hugging Face

    Visit
OlderQwen Releases Open, Bilingual Image Editing ModelQwen · Alibaba · Image Editing · 10 months agoNewerMiraTTS Brings Qwen2 to Bilingual Speech SynthesisYatharthS · Text → Speech · 10 months ago

Get the model

Hugging Face

Specs

Parameters80M
Sample rate32 kHz
LanguagesEnglish
Size200 MB
PrecisionBF16
ArchitectureQwen3ForCausalLM
LicenseAPACHE-2.0
Downloads198
Likes315

Can you run it?

Runs on just about anything.

  • BF16 (as published)

    Any modern laptop · 8 GB RAM

    1.2 GB
  • FP8

    Any modern laptop · 8 GB RAM

    1.1 GB
Your machine

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text → Speech

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