metadata

license: other
license_name: health-ai-developer-foundations
license_link: https://developers.google.com/health-ai-developer-foundations/terms
library_name: mlx
pipeline_tag: text-generation
extra_gated_heading: Access MedGemma on Hugging Face
extra_gated_prompt: >-
  To access MedGemma on Hugging Face, you're required to review and agree to
  [Health AI Developer Foundation's terms of
  use](https://developers.google.com/health-ai-developer-foundations/terms). To
  do this, please ensure you're logged in to Hugging Face and click below.
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extra_gated_button_content: Acknowledge license
base_model: google/medgemma-27b-text-it
tags:
  - medical
  - clinical-reasoning
  - thinking
  - mlx

mlx-community/medgemma-27b-text-it-bf16

This model mlx-community/medgemma-27b-text-it-bf16 was converted to MLX format from google/medgemma-27b-text-it using mlx-lm version 0.25.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/medgemma-27b-text-it-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)