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metadata
license: other
license_name: msrla
license_link: LICENSE
tags:
  - mlx
base_model: NyxKrage/Microsoft_Phi-4
pipeline_tag: text-generation

cnfusion/Microsoft_Phi-4-Q3-mlx

The Model cnfusion/Microsoft_Phi-4-Q3-mlx was converted to MLX format from NyxKrage/Microsoft_Phi-4 using mlx-lm version 0.20.5.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("cnfusion/Microsoft_Phi-4-Q3-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)