MLX Models
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Models converted to run with MLX
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The Model alexgusevski/EXAONE-Deep-7.8B-mlx-4Bit was converted to MLX format from LGAI-EXAONE/EXAONE-Deep-7.8B using mlx-lm version 0.21.5.
P.S. Don't forget to change the prompt template according to this https://github.com/LG-AI-EXAONE/EXAONE-Deep#lm-studio
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("alexgusevski/EXAONE-Deep-7.8B-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)
Base model
LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct