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Open-weights 0.17B-parameter multilingual text-to-speech model with zero-shot voice cloning, runs on CPU via ONNX.

Available in EUVoice & AudioModel

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Audio8 TTS 0.1B at a glance

What is Audio8 TTS 0.1B?
Audio8 TTS 0.1B is a model from Edge0. Open-weights 0.17B-parameter multilingual text-to-speech model with zero-shot voice cloning, runs on CPU via ONNX.
Who makes Audio8 TTS 0.1B?
Audio8 TTS 0.1B is made by Edge0.
Does Audio8 TTS 0.1B work in the EU?
Available in the EU. Weights are freely downloadable from Hugging Face and run locally; the provided license text excerpt shows no EU/EEA exclusion, though the full community license was not reviewed. Last verified 14 Nov 2026.
How much does Audio8 TTS 0.1B cost?
Open source. Weights free to download from Hugging Face under the Audio8 Community License v1.0. Licence: Audio8 Community License v1.0.
Where was Audio8 TTS 0.1B shown?
In 1 creator video by AI Search. Most recently by AI Search on 23 Aug 2026, at 9:43 in “New AI waifus, new Deepseek, realtime worlds, Happy Shrimp, tiny TTS: AI NEWS”.

Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.

About

Audio8 TTS Preview 0.1B is a small text-to-speech model from Edge0 (Audio8) that supports speech generation and zero-shot voice cloning from a short reference clip. The main generative model has roughly 170M parameters, plus a separate ~120M-parameter codec decoder bundled in the repository. It uses an Audio8 Falcon H1 architecture with a slow autoregressive branch predicting semantic tokens and a fast branch predicting 10 codec codebooks, producing 44.1 kHz audio.

Chinese and English are the primary languages; German, Spanish, French, Italian, Japanese and Korean are listed as experimental. The model card states the aim is practical zero-shot TTS at a small footprint, not identical quality across all languages or benchmarks. Context is limited to 2,048 packed text/audio positions.

Weights are downloadable from Hugging Face and load via Transformers with custom remote code (Python 3.11+, CUDA GPU recommended). A separate ONNX INT8 package supports CPU-only inference with ONNX Runtime, reportedly using about 0.4 GiB after loading, and includes a CLI, web/HTTP service, streaming PCM and voice registration. It is released under the Audio8 Community License v1.0, not a standard OSI license.

Key features
  • ~170M-parameter main model plus ~120M codec decoder
  • Zero-shot voice cloning from a short audio sample
  • Chinese and English primary; six more languages experimental
  • 44.1 kHz output with 10-codebook neural audio codec
  • ONNX INT8 build for CPU-only inference
  • Streaming PCM output and HTTP service in the ONNX runtime
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