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---
language:
- en
library_name: transformers
license: mit
license_link: https://huggingface.co/microsoft/Phi-4-mini-instruct-reasoning/resolve/main/LICENSE
pipeline_tag: text-generation
tags:
- nlp
- math
- code
- mlx
- mlx-my-repo
widget:
- messages:
- role: user
content: How to solve 3*x^2+4*x+5=1?
base_model: microsoft/Phi-4-mini-reasoning
---
# MCES10-Software/Phi-4-mini-reasoning-mlx-fp16
The Model [MCES10-Software/Phi-4-mini-reasoning-mlx-fp16](https://huggingface.co/MCES10-Software/Phi-4-mini-reasoning-mlx-fp16) was converted to MLX format from [microsoft/Phi-4-mini-reasoning](https://huggingface.co/microsoft/Phi-4-mini-reasoning) using mlx-lm version **0.22.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("MCES10-Software/Phi-4-mini-reasoning-mlx-fp16")
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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