Gemma 3
					Collection
				
A collection of lightweight, state-of-the-art open models built from the same research and technology that powers the Gemini 2.0 models
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				42 items
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					30
The Model mlx-community/gemma-3-1b-it-4bit was converted to MLX format from google/gemma-3-1b-it using mlx-lm version 0.21.6.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/gemma-3-1b-it-4bit")
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)