license, library_name, pipeline_tag, extra_gated_heading, extra_gated_prompt, extra_gated_button_content, base_model, tags

license	library_name	pipeline_tag	extra_gated_heading	extra_gated_prompt	extra_gated_button_content	base_model	tags
gemma	transformers	text-generation	Access Gemma on Hugging Face	To access Gemma on Hugging Face, you’re required to review and agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging Face and click below. Requests are processed immediately.	Acknowledge license	google/gemma-3-1b-it	mlx

mlx-community/gemma-3-1b-it-qat-bf16

The Model mlx-community/gemma-3-1b-it-qat-bf16 was converted to MLX format from google/gemma-3-1b-it-qat-q4_0 using mlx-lm version 0.22.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/gemma-3-1b-it-qat-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)