README.md

---
license: other
license_name: apache-2.0
language:
- en
tags:
- multimodal
- mlx
library_name: mlx
pipeline_tag: text-generation
base_model: Qwen/Qwen3-Omni-30B-A3B-Captioner
---

# abnormalmapstudio/Qwen3-Omni-30B-A3B-Captioner-mxfp4-mlx

This model [abnormalmapstudio/Qwen3-Omni-30B-A3B-Captioner-mxfp4-mlx](https://huggingface.co/abnormalmapstudio/Qwen3-Omni-30B-A3B-Captioner-mxfp4-mlx) was
converted to MLX format from [Qwen/Qwen3-Omni-30B-A3B-Captioner](https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Captioner)
using mlx-lm version **0.28.1**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("abnormalmapstudio/Qwen3-Omni-30B-A3B-Captioner-mxfp4-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```