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---
license: mit
---
# **Phi-3.5-mini-instruct-mlx-int4**
This is a quantized INT4 model based on Apple MLX Framework Phi-3.5-mini-instruct. You can deploy it on Apple Silicon devices (M1,M2,M3).
<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 microsoft/Phi-3.5-mini-instruct -q
```
## **Samples**
```python
from mlx_lm import load, generate
model, tokenizer = load("Your Phi-3.5-instruct-mlx-int4 Path")
prompt = tokenizer.apply_chat_template(
[{"role": "user", "content": "能介绍一下 iOS 吗?"}],
tokenize=False,
add_generation_prompt=True,
)
response = generate(model, tokenizer, prompt=prompt,max_tokens=1024, verbose=True)
```
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