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This model EXAONE-4.0-1.2B-q8-mlx was converted to MLX format from LGAI-EXAONE/EXAONE-4.0-1.2B using mlx-lm version 0.26.0.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("EXAONE-4.0-1.2B-q8-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)
Base model
LGAI-EXAONE/EXAONE-4.0-1.2B