from mlx_lm import load, generate

model, tokenizer = load("McG-221/gemma-4-26B-A4B-it-qat-q4_0-unquantized-mlx-4Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)

McG-221/gemma-4-26B-A4B-it-QAT-mlx-4Bit

McG-221/gemma-4-26B-A4B-it-qat-q4_0-unquantized-mlx-4Bit

Use with mlx

McG-221/
gemma-4-26B-A4B-it-QAT-mlx-4Bit