README.md

---
license: apache-2.0
license_link: https://huggingface.co/Qwen/QwQ-32B-Preview/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model: Qwen/QwQ-32B-Preview
tags:
- chat
- mlx
library_name: transformers
---

# mlx-community/Qwen_QwQ-32B-Preview_MLX-8bit

The Model [mlx-community/Qwen_QwQ-32B-Preview_MLX-8bit](https://huggingface.co/mlx-community/Qwen_QwQ-32B-Preview_MLX-8bit) was
converted to MLX format from [Qwen/QwQ-32B-Preview](https://huggingface.co/Qwen/QwQ-32B-Preview)
using mlx-lm version **0.20.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Qwen_QwQ-32B-Preview_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)
```