A 0.1B-parameter multilingual text-to-speech model with voice cloning from a few seconds of audio. Total size is 1.7 GB, so it runs on consumer devices.
Open-weights 0.17B-parameter multilingual text-to-speech model with zero-shot voice cloning, runs on CPU via ONNX.
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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.
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.
- ~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
As seen on YouTube
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