EXAONE-3.5-2.4B-Instruct-q3-mlx

alexgusevski/EXAONE-3.5-2.4B-Instruct-q3-mlx

The Model alexgusevski/EXAONE-3.5-2.4B-Instruct-q3-mlx was converted to MLX format from LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct using mlx-lm version 0.21.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/EXAONE-3.5-2.4B-Instruct-q3-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)