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plaincompute/audio8-tts-preview-0.1b-mx
audio8-tts-preview-0.1b-mx is a text-to-speech model from plaincompute. Use it when you need text read aloud. It is set up for mlx-audio. The card lists the license as apache-2.0.
MLX conversion of Audio8/Audio8-TTS-Preview-0.1b (revision 1b17c91) for Apple Silicon — a 0.1B-parameter multilingual text-to-speech model with zero-shot voice cloning and a bundled 44.1 kHz neural codec. And then qua…
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.safetensors612 MB · 99%
How the weights are stored.
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From the Hugging Face model README
MLX conversion of Audio8/Audio8-TTS-Preview-0.1b
(revision 1b17c91) for Apple Silicon — a 0.1B-parameter multilingual text-to-speech
model with zero-shot voice cloning and a bundled 44.1 kHz neural codec. And then quantized to Q6 or Q4 for variable layers. Then finally merge codec into the model to get a less than 1GB model file.
codec.pth to safetensors with weight-norm folded
and conv weights in MLX (channels-last) layoutarktts — a DualAR transformer (24-layer slow AR predicting one
semantic token per frame, 4-layer fast AR predicting 10 codec codebooks per frame),
inspired by Fish Audio S2 ProConversion parity vs the PyTorch reference (fp32, CPU): unit/block outputs within 1e-4, reference-audio codec encoding 100% code-exact, greedy generation 100% token-exact over the validation utterance, decoded waveform max-abs 7.5e-6.
Currently can only be used in https://github.com/jason-ni/tf-assistant-app
Cantonese, Chinese, Dutch, English, French, German, Italian, Japanese, Korean, Polish, Spanish (per the upstream preview release).
Apache-2.0, following the upstream model. The bundled codec weights are part of the upstream repository and carry the same license.