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---
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)
```
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