gemma-3n-E4B-it-4bit-mlx

huseyincavus/gemma-3n-E4B-it-4bit-mlx

This model huseyincavus/gemma-3n-E4B-it-4bit-mlx was converted to MLX format from google/gemma-3n-E4B using mlx-lm version 0.26.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("huseyincavus/gemma-3n-E4B-it-4bit-mlx")

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)

Script on Github