---
language:
- multilingual
library_name: transformers
license: mit
license_link: https://huggingface.co/microsoft/Phi-3.5-mini-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
tags:
- nlp
- code
- mlx
- mlx
- mlx-my-repo
widget:
- messages:
  - role: user
    content: Can you provide ways to eat combinations of bananas and dragonfruits?
base_model: mlx-community/Phi-3.5-mini-instruct-4bit
---

# introvoyz041/Phi-3.5-mini-instruct-4bit-mlx-4Bit

The Model [introvoyz041/Phi-3.5-mini-instruct-4bit-mlx-4Bit](https://huggingface.co/introvoyz041/Phi-3.5-mini-instruct-4bit-mlx-4Bit) was converted to MLX format from [mlx-community/Phi-3.5-mini-instruct-4bit](https://huggingface.co/mlx-community/Phi-3.5-mini-instruct-4bit) using mlx-lm version **0.28.3**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("introvoyz041/Phi-3.5-mini-instruct-4bit-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)
```