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---
license: mit
pipeline_tag: text-generation
language:
- ja
tags:
- japanese
- qwen2
- mlx
inference: false
base_model: cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japanese
---
# mlx-community/DeepSeek-R1-Distill-Qwen-32B-Japanese
The Model [mlx-community/DeepSeek-R1-Distill-Qwen-32B-Japanese](https://huggingface.co/mlx-community/DeepSeek-R1-Distill-Qwen-32B-Japanese) was
converted to MLX format from [cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japanese](https://huggingface.co/cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japanese)
using mlx-lm version **0.21.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-32B-Japanese")
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)
```