README.md

metadata

language:
  - en
library_name: transformers
license: mit
license_link: >-
  https://huggingface.co/microsoft/Phi-4-mini-instruct-reasoning/resolve/main/LICENSE
pipeline_tag: text-generation
tags:
  - nlp
  - math
  - code
  - mlx
  - mlx-my-repo
widget:
  - messages:
      - role: user
        content: How to solve 3*x^2+4*x+5=1?
base_model: microsoft/Phi-4-mini-reasoning

MCES10-Software/Phi-4-mini-reasoning-mlx-fp16

The Model MCES10-Software/Phi-4-mini-reasoning-mlx-fp16 was converted to MLX format from microsoft/Phi-4-mini-reasoning using mlx-lm version 0.22.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("MCES10-Software/Phi-4-mini-reasoning-mlx-fp16")

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)