---
library_name: mlx
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507/blob/main/LICENSE
base_model: huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated
pipeline_tag: text-generation
tags:
- abliterated
- uncensored
- mlx
---

# Huihui-Qwen3-4B-Thinking-2507-abliterated-q4-hi-mlx

This model [Huihui-Qwen3-4B-Thinking-2507-abliterated-q4-hi-mlx](https://huggingface.co/Huihui-Qwen3-4B-Thinking-2507-abliterated-q4-hi-mlx) was
converted to MLX format from [huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated](https://huggingface.co/huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated)
using mlx-lm version **0.26.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Huihui-Qwen3-4B-Thinking-2507-abliterated-q4-hi-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)
```