---
title: GLM-ASR-Nano-2512-4bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/GLM-ASR-Nano-2512-4bit"
md_url: "https://www.modelscope.cn/models/mlx-community/GLM-ASR-Nano-2512-4bit.md"
repository: mlx-community/GLM-ASR-Nano-2512-4bit
last_updated: 2025-12-20
license: mit
model_type:
  - glmasr
architectures:
  - GlmasrModel
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
  - zh
downloads: 445
stars: 0
tags:
  - mlx
  - speech-to-text
  - speech-to-speech
  - speech
  - "speech generation"
  - stt
---

# GLM-ASR-Nano-2512-4bit

> GLM-ASR-Nano-2512-4bit - mlx-community 在 ModelScope 开源的模型。mlx-community/GLM-ASR-Nano-2512-4bit This model was converted to MLX format from zai-org/GLM-ASR-Nano-2512 using mlx-audio version 0.2.9. Refer to the original model card for more details on the model.

mlx-community/GLM-ASR-Nano-2512-4bit 是 ModelScope 魔搭社区上的机器学习模型，采用 mit 许可。

- **Repository**: mlx-community/GLM-ASR-Nano-2512-4bit
- **License**: mit
- **Tags**: mlx, speech-to-text, speech-to-speech, speech, speech generation, stt
- **Downloads**: 445
- **Stars**: 0
- **Last updated**: 2025-12-20

Source: https://www.modelscope.cn/models/mlx-community/GLM-ASR-Nano-2512-4bit

---

# mlx-community/GLM-ASR-Nano-2512-4bit
This model was converted to MLX format from [`zai-org/GLM-ASR-Nano-2512`](https://huggingface.co/zai-org/GLM-ASR-Nano-2512) using mlx-audio version **0.2.9**.
Refer to the [original model card](https://huggingface.co/zai-org/GLM-ASR-Nano-2512) for more details on the model.

## Use with mlx-audio

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

### CLI Example:
```bash
    python -m mlx_audio.stt.generate --model mlx-community/GLM-ASR-Nano-2512-4bit --audio "audio.wav"
```
### Python Example:
```python
    from mlx_audio.stt.utils import load_model
    from mlx_audio.stt.generate import generate_transcription
    model = load_model("mlx-community/GLM-ASR-Nano-2512-4bit")
    transcription = generate_transcription(
        model=model,
        audio_path="path_to_audio.wav",
        output_path="path_to_output.txt",
        format="txt",
        verbose=True,
    )
    print(transcription.text)
```