README.md

metadata

base_model: unsloth/Phi-4-mini-instruct
license: mit
license_link: https://huggingface.co/microsoft/Phi-4-mini-instruct/resolve/main/LICENSE
language:
  - multilingual
pipeline_tag: text-generation
tags:
  - phi
  - phi4
  - unsloth
  - nlp
  - code
  - microsoft
  - math
  - chat
  - conversational
  - mlx
  - mlx-my-repo
library_name: transformers

maxrubin629/Phi-4-mini-instruct-Q8-mlx

The Model maxrubin629/Phi-4-mini-instruct-Q8-mlx was converted to MLX format from unsloth/Phi-4-mini-instruct using mlx-lm version 0.21.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("maxrubin629/Phi-4-mini-instruct-Q8-mlx")

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)