---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- music
- art
- text-generation-inference
- mlx
- mlx-my-repo
base_model: m-a-p/YuE-s1-7B-anneal-zh-icl
---

# mingz2022/YuE-s1-7B-anneal-zh-icl-Q4-mlx

The Model [mingz2022/YuE-s1-7B-anneal-zh-icl-Q4-mlx](https://huggingface.co/mingz2022/YuE-s1-7B-anneal-zh-icl-Q4-mlx) was converted to MLX format from [m-a-p/YuE-s1-7B-anneal-zh-icl](https://huggingface.co/m-a-p/YuE-s1-7B-anneal-zh-icl) using mlx-lm version **0.20.5**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mingz2022/YuE-s1-7B-anneal-zh-icl-Q4-mlx")

prompt="hello"

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

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