license, datasets, language, base_model, library_name, tags, pipeline_tag

license	datasets	language	base_model	library_name	tags	pipeline_tag
mit	microsoft/mediflow ncbi/pubmed epfl-llm/guidelines starmpcc/Asclepius-Synthetic-Clinical-Notes akemiH/NoteChat zhengyun21/PMC-Patients jpcorb20/medical_wikipedia	en	microsoft/MediPhi-Instruct	mlx	merge mergekit medical clinical mlx	text-generation

mlx-community/MediPhi-Instruct-bf16

This model mlx-community/MediPhi-Instruct-bf16 was converted to MLX format from microsoft/MediPhi-Instruct using mlx-lm version 0.25.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/MediPhi-Instruct-bf16")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)