---
license: mit
license_link: https://huggingface.co/OpenPipe/Deductive-Reasoning-Qwen-32B/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model: OpenPipe/Deductive-Reasoning-Qwen-32B
tags:
- chat
- mlx
library_name: transformers
---

# mlx-community/Deductive-Reasoning-Qwen-32B-MLX-6bit

The Model [mlx-community/Deductive-Reasoning-Qwen-32B-MLX-6bit](https://huggingface.co/mlx-community/Deductive-Reasoning-Qwen-32B-MLX-6bit) was
converted to MLX format from [OpenPipe/Deductive-Reasoning-Qwen-32B](https://huggingface.co/OpenPipe/Deductive-Reasoning-Qwen-32B)
using mlx-lm version **0.21.5**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Deductive-Reasoning-Qwen-32B-MLX-6bit")

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)
```