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---
license: mit
license_link: https://huggingface.co/microsoft/phi-4/resolve/main/LICENSE
language:
- en
pipeline_tag: text-generation
tags:
- phi
- phi4
- unsloth
- nlp
- math
- code
- chat
- conversational
- mlx
base_model: unsloth/phi-4
library_name: transformers
---
# cwendel/phi4_mlx_q
The Model [cwendel/Unsloth-phi4-mlx-4bit](https://huggingface.co/cwendel/Unsloth-phi4-mlx-4bit) was converted to MLX format from [unsloth/phi-4](https://huggingface.co/unsloth/phi-4) using mlx-lm version **0.19.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("cwendel/Unsloth-phi4-mlx-4bit")
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)
```