| | --- |
| | 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) |
| | ``` |
