base_model, language, library_name, license, license_link, pipeline_tag, tags, inference, widget

base_model	language	library_name	license	license_link	pipeline_tag	tags	inference	widget
microsoft/phi-4	en	transformers	mit	https://huggingface.co/microsoft/phi-4/resolve/main/LICENSE	text-generation	phi nlp math code chat conversational mlx	parameters temperature 0	messages role content user How should I explain the Internet?

mlx-community/phi-4-bf16

The Model mlx-community/phi-4-bf16 was converted to MLX format from microsoft/phi-4 using mlx-lm version 0.20.6.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/phi-4-bf16")

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)