---
base_model: johnsnowlabs/JSL-MedPhi2-2.7B
license: cc-by-nc-nd-4.0
tags:
- phi-2
- sft
- medical
- mlx
---

# TheBlueObserver/JSL-MedPhi2-2.7B-MLX-393a7

The Model [TheBlueObserver/JSL-MedPhi2-2.7B-MLX-393a7](https://huggingface.co/TheBlueObserver/JSL-MedPhi2-2.7B-MLX-393a7) was
converted to MLX format from [johnsnowlabs/JSL-MedPhi2-2.7B](https://huggingface.co/johnsnowlabs/JSL-MedPhi2-2.7B)
using mlx-lm version **0.20.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("TheBlueObserver/JSL-MedPhi2-2.7B-MLX-393a7")

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)
```