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---
license: mit
---
# **DeepSeek-R1-Distill-Qwen-14B-INT4-MLX**
This is a quantized INT4 model based on Apple MLX Framework Phi-4. You can deploy it on Apple Silicon devices (M1,M2,M3,M4...).
<b><span style="text-decoration:underline">Note: This is unoffical version,just for test and dev.</span></b>
## **Installation**
```bash
pip install -U mlx-lm
```
## **Conversion**
```bash
python -m mlx_lm.convert --hf-path {Your DeepSeek-R1-Distill-Qwen-14B Path} -q
```
## **Samples**
```python
from mlx_lm import load, generate
model, tokenizer = load("Your DeepSeek-R1-Distill-Qwen-14B-INT4-MLX Path")
prompt = tokenizer.apply_chat_template(
[{"role": "user", "content": "I have $20,000 in my savings account, where I receive a 4% profit per year and payments twice a year. Can you please tell me how long it will take for me to become a millionaire? Also, can you please explain the math step by step as if you were explaining it to an uneducated person?"}],
tokenize=False,
add_generation_prompt=True,
)
response = generate(model, tokenizer, prompt=prompt,max_tokens=1024, verbose=True)
```
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