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LatestAudio8Preview-0.6b
Audio8Text → Speech

Audio8 debuts a 0.6B multilingual zero-shot TTS preview

The compact text-to-speech model promises voice cloning across languages from a footprint small enough to run without heavy hardware.

Jul 28, 2026
UpdateOther
Audio8-TTS-Preview-0.1b

A new preview model called Audio8-TTS-Preview-0.6b has arrived on Hugging Face, offering multilingual text-to-speech with zero-shot voice cloning in a notably small package. At roughly 600 million parameters, it sits well under the billion-parameter mark, which typically means lower memory requirements and faster inference than larger speech systems.

The headline capability is zero-shot voice cloning: the ability to reproduce a target speaker's voice from a short reference sample without task-specific fine-tuning. Paired with multilingual support, that positions the model for use cases like dubbing, accessibility tools, and voice interfaces where a single system needs to handle several languages.

Why it matters

Small, capable TTS models are increasingly attractive because they can run closer to the edge and cost less to serve at scale. A 0.6B model that still handles cloning and multiple languages is a reasonable trade-off for developers who don't need the fidelity ceiling of much larger systems.

  • Size: ~0.6B parameters, in the sub-1B tier
  • Languages: multilingual
  • Feature: zero-shot voice cloning
  • License: listed as "other," so review terms before deployment

As a preview release, details remain thin — there's no published context on sample rate, supported language list, or benchmark comparisons in the record. Anyone considering it for production should verify the licensing terms and test output quality against their target languages before committing.

Sources

  • Audio8/Audio8-TTS-Preview-0.6b

    Hugging Face

    Visit
OlderThinking Machines Debuts Inkling Small, a Compact Multimodal MoEThinkingmachines · Vision-Language · 3 months agoNewerSenseTime Debuts SenseNova U1.5 8B Multimodal PreviewSenseTime · Any-to-Any · 3 months ago

Get the model

Hugging Face

Specs

Parameters600M
Languagesmultilingual
Size1.2 GB
PrecisionBF16
ArchitectureArkttsModel
LicenseOTHER
Downloads4K
Likes423

Can you run it?

Runs on just about anything.

  • BF16 (as published)

    Any modern laptop · 8 GB RAM

    2.2 GB
  • FP8

    Any modern laptop · 8 GB RAM

    1.6 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
2 versions — view changelog

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