gemma-3-1b-it-DQ

mlx-community/gemma-3-1b-it-DQ

This model mlx-community/gemma-3-1b-it-DQ was converted to MLX format from google/gemma-3-1b-it using mlx-lm version 0.25.2.

2x faster and 2.4x less memory footprint than the dequantized model

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

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

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)