---
title: Audio8-TTS-Preview-0.6b-bf16
canonical_url: "https://www.modelscope.cn/models/mlx-community/Audio8-TTS-Preview-0.6b-bf16"
md_url: "https://www.modelscope.cn/models/mlx-community/Audio8-TTS-Preview-0.6b-bf16.md"
repository: mlx-community/Audio8-TTS-Preview-0.6b-bf16
last_updated: 2026-08-04
license: apache-2.0
pipeline_tag: text-to-speech
tasks:
  - text-to-speech
model_type:
  - arktts
architectures:
  - ArkttsModel
base_model:
  - Audio8/Audio8-TTS-Preview-0.6b
base_model_relation: finetune
parameters: 601.2M
tensor_type:
  - BF16
  - F32
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - yue
  - zh
  - nl
  - en
  - fr
  - de
  - it
  - ja
  - ko
  - pl
  - es
downloads: 27
stars: 0
tags:
  - mlx
  - audio
  - text-to-speech
  - tts
  - voice-cloning
  - zero-shot
  - multilingual
  - arktts
---

# Audio8-TTS-Preview-0.6b-bf16

> Audio8-TTS-Preview-0.6b-bf16 - mlx-community 在 ModelScope 开源的模型。Audio8-TTS-Preview-0.6b-bf16 (MLX)

mlx-community/Audio8-TTS-Preview-0.6b-bf16 是 ModelScope 魔搭社区上的 601.2M 参数text-to-speech模型，采用 apache-2.0 许可，基于 Audio8/Audio8-TTS-Preview-0.6b 构建。

- **Repository**: mlx-community/Audio8-TTS-Preview-0.6b-bf16
- **License**: apache-2.0
- **Tasks**: text-to-speech
- **Parameters**: 601.2M
- **Base model**: Audio8/Audio8-TTS-Preview-0.6b
- **Tags**: mlx, audio, text-to-speech, tts, voice-cloning, zero-shot, multilingual, arktts
- **Downloads**: 27
- **Stars**: 0
- **Last updated**: 2026-08-04

Source: https://www.modelscope.cn/models/mlx-community/Audio8-TTS-Preview-0.6b-bf16

---

# Audio8-TTS-Preview-0.6b-bf16 (MLX)

MLX conversion of [Audio8/Audio8-TTS-Preview-0.6b](https://huggingface.co/Audio8/Audio8-TTS-Preview-0.6b)
(revision `1b17c91`) for Apple Silicon — a 0.6B-parameter multilingual text-to-speech
model with zero-shot voice cloning and a bundled 44.1 kHz neural codec.

- **Language model**: bf16 (as published upstream)
- **Codec**: fp32, converted from `codec.pth` to safetensors with weight-norm folded
  and conv weights in MLX (channels-last) layout
- **Architecture**: `arktts` — 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 Pro

Conversion 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.

## Usage (mlx-audio)

Requires [mlx-audio](https://github.com/Blaizzy/mlx-audio) **≥ 0.4.7** — the release that
first carries the `arktts` model family
([#867](https://github.com/Blaizzy/mlx-audio/pull/867)).

```bash
pip install -U "mlx-audio>=0.4.7"
```

```python
import soundfile as sf
from mlx_audio.tts.utils import load

model = load("mlx-community/Audio8-TTS-Preview-0.6b-bf16")

# zero-shot voice cloning: the reference transcript must match the reference audio
for result in model.generate(
    text="Welcome to Audio8 TTS, running on Apple Silicon.",
    ref_audio="reference.wav",
    ref_text="Transcript of the reference clip.",
    temperature=0.7, top_p=0.9, top_k=50,
):
    sf.write("output.wav", result.audio, result.sample_rate)
```

Without `ref_audio`, the model synthesizes with a default voice.

## Supported languages

Cantonese, Chinese, Dutch, English, French, German, Italian, Japanese, Korean,
Polish, Spanish (per the upstream preview release).

## License

Apache-2.0, following the upstream model. The bundled codec weights are part of the
upstream repository and carry the same license.