metadata

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 was converted to MLX format from microsoft/Phi-3-mini-128k-instruct using mlx-lm version 0.15.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

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