---
language:
- en
license: mit
license_link: https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
tags:
- nlp
- code
- mlx
widget:
- messages:
  - role: user
    content: Can you provide ways to eat combinations of bananas and dragonfruits?
datasets:
- medalpaca/medical_meadow_medical_flashcards
---

# jafermarq/finetuned_mlx

The Model [jafermarq/finetuned_phi3_mlx](https://huggingface.co/jafermarq/finetuned_phi3_mlx) was converted to MLX format from [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) using mlx-lm version **0.15.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("jafermarq/finetuned_phi3_mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```