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Latestekwek1.1
ekwekText → Speech

Soprano TTS Model Leverages Qwen3 Architecture

The new 80-million-parameter text-to-speech model adapts a powerful language model architecture for efficient, open-source audio generation.

Jan 14, 2026
UpdateApache 2.0
Soprano-1.1-80M

A new open-source model for generating speech from text has been released by a group called OpenMOSS. Named Soprano-1.1-80M, the model is exceptionally compact at just 80 million parameters and is available under the permissive Apache 2.0 license.

What sets Soprano apart is its foundation. The model adapts the architecture of Qwen3, a family of models primarily known for large-scale text generation. Applying a modern large language model (LLM) architecture to the specialized task of text-to-speech (TTS) represents an increasingly common strategy for leveraging the power of these advanced designs across different modalities.

The model's small size is a significant advantage, making it suitable for developers who need to run speech synthesis on consumer-grade hardware or in resource-constrained environments. By combining this efficiency with an open license, Soprano lowers the barrier for integrating custom, high-quality voice generation into a wide range of applications, from accessibility tools to creative projects.

Soprano-1.1-80M is available for download and experimentation now from the Hugging Face Hub.

Sources

  • ekwek/Soprano-1.1-80M

    Hugging Face

    Visit
OlderBlack Forest Labs Releases Open-Source FLUX.2 Klein 4BBlack Forest Labs · Text → Image · 10 months agoNewerBlack Forest Labs Releases 9B FLUX.2 Image ModelBlack Forest Labs · Text → Image · 10 months ago

Get the model

Hugging Face

Specs

Parameters80M
Sample rate32 kHz
LanguagesEnglish
Size200 MB
PrecisionBF16
ArchitectureQwen3ForCausalLM
LicenseAPACHE-2.0
Downloads2.8K
Likes224

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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