---
license: apache-2.0
thumbnail: https://cdn-uploads.huggingface.co/production/uploads/6625f4a8a8d1362ebcc3851a/coilCTGeL0OUYr9PA9zna.jpeg
language:
- en
base_model: ArliAI/QwQ-32B-ArliAI-RpR-v3
tags:
- mlx
---

# janboe91/QwQ-32B-ArliAI-RpR-v3-mlx-4Bit

The Model [janboe91/QwQ-32B-ArliAI-RpR-v3-mlx-4Bit](https://huggingface.co/janboe91/QwQ-32B-ArliAI-RpR-v3-mlx-4Bit) was converted to MLX format from [ArliAI/QwQ-32B-ArliAI-RpR-v3](https://huggingface.co/ArliAI/QwQ-32B-ArliAI-RpR-v3) using mlx-lm version **0.22.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("janboe91/QwQ-32B-ArliAI-RpR-v3-mlx-4Bit")

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)
```