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metadata
license: other
license_name: exaone
license_link: LICENSE
language:
  - en
  - ko
  - es
tags:
  - lg-ai
  - exaone
  - exaone-4.0
  - mlx
pipeline_tag: text-generation
library_name: mlx
base_model: LGAI-EXAONE/EXAONE-4.0-32B

litmudoc/EXAONE-4.0-32B-Q8

This model litmudoc/EXAONE-4.0-32B-MLX-Q8 was converted to MLX format from LGAI-EXAONE/EXAONE-4.0-32B using mlx-lm version 0.26.0.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("litmudoc/EXAONE-4.0-32B-MLX-Q8")

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)