---
license: other
license_name: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-Omni-7B/blob/main/LICENSE
language:
- en
tags:
- multimodal
- mlx
library_name: mlx
pipeline_tag: text-generation
base_model: Qwen/Qwen2.5-Omni-7B
---

# giangndm/qwen2.5-omni-7b-mlx-8bit

This model [giangndm/qwen2.5-omni-7b-mlx-8bit](https://huggingface.co/giangndm/qwen2.5-omni-7b-mlx-8bit) was
converted to MLX format from [Qwen/Qwen2.5-Omni-7B](https://huggingface.co/Qwen/Qwen2.5-Omni-7B)
using mlx-lm version **0.24.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("giangndm/qwen2.5-omni-7b-mlx-8bit")

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)
```