---
title: Ming-omni-tts-0.5B-4bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/Ming-omni-tts-0.5B-4bit"
md_url: "https://www.modelscope.cn/models/mlx-community/Ming-omni-tts-0.5B-4bit.md"
repository: mlx-community/Ming-omni-tts-0.5B-4bit
last_updated: 2026-03-07
license: apache-2.0
pipeline_tag: text-to-speech
tasks:
  - text-to-speech
model_type:
  - dense
architectures:
  - BailingMMNativeForConditionalGeneration
parameters: 232.2M
tensor_type:
  - BF16
  - U32
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 44
stars: 1
tags:
  - mlx
  - text-to-speech
  - speech
  - "speech generation"
  - "voice cloning"
  - tts
  - mlx-audio
---

# Ming-omni-tts-0.5B-4bit

> Ming-omni-tts-0.5B-4bit - mlx-community 在 ModelScope 开源的模型。mlx-community/Ming-omni-tts-0.5B-4bit

mlx-community/Ming-omni-tts-0.5B-4bit 是 ModelScope 魔搭社区上的 232.2M 参数text-to-speech模型，采用 apache-2.0 许可。

- **Repository**: mlx-community/Ming-omni-tts-0.5B-4bit
- **License**: apache-2.0
- **Tasks**: text-to-speech
- **Parameters**: 232.2M
- **Tags**: mlx, text-to-speech, speech, speech generation, voice cloning, tts, mlx-audio
- **Downloads**: 44
- **Stars**: 1
- **Last updated**: 2026-03-07

Source: https://www.modelscope.cn/models/mlx-community/Ming-omni-tts-0.5B-4bit

---

# mlx-community/Ming-omni-tts-0.5B-4bit

This model was converted to MLX format from [`inclusionAI/Ming-omni-tts-0.5B`](https://huggingface.co/inclusionAI/Ming-omni-tts-0.5B) using mlx-audio version **0.3.2**.

Refer to the [original model card](https://huggingface.co/inclusionAI/Ming-omni-tts-0.5B) for more details on the model.

## Use with mlx-audio

```bash
pip install -U mlx-audio
```

### CLI Example:
```bash
python -m mlx_audio.tts.generate --model mlx-community/Ming-omni-tts-0.5B-4bit --text "Hello, this is a test."
```

### Python Example:
```python        
from mlx_audio.tts.utils import load_model
from mlx_audio.tts.generate import generate_audio

model = load_model("mlx-community/Ming-omni-tts-0.5B-4bit")
generate_audio(
    model=model,
    text="Hello, this is a test.",
    ref_audio="path_to_audio.wav",
    file_prefix="test_audio",
)

```