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LatestBosonai3
BosonaiText → Speech

Higgs TTS 3 lands as a 4B multilingual speech model

Boson AI's new text-to-speech release aims for expressive, controllable voice synthesis across multiple languages.

Jun 4, 2026
NotableOther
Higgs TTS 3 4B

A new entry in the text-to-speech space has arrived: Higgs TTS 3, a 4-billion-parameter model published under the bosonai namespace on Hugging Face. It targets expressive, controllable speech generation with multilingual support, positioning itself for developers who want more than flat, robotic narration.

At 4B parameters, the model sits in a practical middle ground — large enough to capture nuanced prosody and timbre, but small enough to run without the heaviest infrastructure. The emphasis on controllability suggests it is built for use cases where tone, emphasis, and delivery matter, such as audiobooks, virtual assistants, and dubbing.

Why it matters

Open text-to-speech has lagged behind text and image generation, and high-quality multilingual voices have often been locked behind commercial APIs. A capable, openly distributed model shifts more of that capability into the hands of builders who want to self-host or fine-tune.

Key details from the release:

  • 4B dense parameters (not a mixture-of-experts design)
  • Multilingual text-to-speech output
  • Framed around expressive and controllable generation
  • Released under a non-standard "other" license

Prospective adopters should review the license terms before deploying commercially, since the "other" designation means usage rights are not a standard permissive grant. As always, real-world quality will depend on how the model handles edge cases across languages and speaking styles — something worth testing against your own audio benchmarks.

Sources

  • bosonai/higgs-tts-3-4b

    Hugging Face

    Visit
OlderIdeogram 4.0 arrives as an open-weight image modelStability AI · Text → Image · 5 months agoNewerCohere Releases North-Mini-Code, an Open MoE ModelCohere · Code · 5 months ago

Get the model

Hugging Face

Specs

Parameters4B
Languagesmultilingual
Size9.3 GB
PrecisionBF16
ArchitectureHiggsMultimodalQwen3ForConditionalGeneration
LicenseOTHER
Downloads124.3K
Likes827

Can you run it?

Runs on a laptop — about 5.7 GB at FP8.

  • BF16 (as published)

    12 GB GPU (RTX 3060 / 4070) · 16 GB Mac

    10.3 GB
  • FP8

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    5.7 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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