---
base_model: unsloth/Phi-4-mini-instruct
license: mit
license_link: https://huggingface.co/microsoft/Phi-4-mini-instruct/resolve/main/LICENSE
language:
- multilingual
pipeline_tag: text-generation
tags:
- phi
- phi4
- unsloth
- nlp
- code
- microsoft
- math
- chat
- conversational
- mlx
- mlx-my-repo
library_name: transformers
---

# mlxcommunity/Unsloth-Phi-4-mini-instruct-4Bit

The Model [mlxcommunity/Unsloth-Phi-4-mini-instruct-4Bit](https://huggingface.co/mlxcommunity/Unsloth-Phi-4-mini-instruct-4Bit) was converted to MLX format from [unsloth/Phi-4-mini-instruct](https://huggingface.co/unsloth/Phi-4-mini-instruct) 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("adrgrondin/Phi-4-mini-instruct-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)
```