---
library_name: mlx
license: apache-2.0
base_model: BennyDaBall/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX
tags:
- z-image-turbo
- prompt-engineering
- qwen3
- heretic
- mlx
- prompt-enhancer
- mlx
- mlx-my-repo
---

# introvoyz041/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX-mlx-8Bit

The Model [introvoyz041/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX-mlx-8Bit](https://huggingface.co/introvoyz041/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX-mlx-8Bit) was converted to MLX format from [BennyDaBall/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX](https://huggingface.co/BennyDaBall/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX) using mlx-lm version **0.28.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("introvoyz041/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX-mlx-8Bit")

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)
```