---
license: apache-2.0
license_link: https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-7030/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model: huihui-ai/QwQ-32B-Coder-Fusion-7030
tags:
- chat
- abliterated
- uncensored
- mlx
- mlx-my-repo
library_name: transformers
---

# cnfusion/QwQ-32B-Coder-Fusion-7030-Q8-mlx

The Model [cnfusion/QwQ-32B-Coder-Fusion-7030-Q8-mlx](https://huggingface.co/cnfusion/QwQ-32B-Coder-Fusion-7030-Q8-mlx) was converted to MLX format from [huihui-ai/QwQ-32B-Coder-Fusion-7030](https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-7030) using mlx-lm version **0.19.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("cnfusion/QwQ-32B-Coder-Fusion-7030-Q8-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)
```