README.md

metadata

license: other
license_name: exaone
license_link: LICENSE
language:
  - en
  - ko
tags:
  - lg-ai
  - exaone
  - exaone-3.5
  - mlx
  - mlx-my-repo
pipeline_tag: text-generation
library_name: transformers
base_model: LGAI-EXAONE/EXAONE-3.5-32B-Instruct

alexander583/EXAONE-3.5-32B-Instruct-Q4-mlx

The Model alexander583/EXAONE-3.5-32B-Instruct-Q4-mlx was converted to MLX format from LGAI-EXAONE/EXAONE-3.5-32B-Instruct using mlx-lm version 0.20.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexander583/EXAONE-3.5-32B-Instruct-Q4-mlx")

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)