license: other
license_name: exaone
license_link: LICENSE
language:
- en
- ko
tags: - lg-ai
- exaone
- exaone-3.5
- abliterated
- uncensored
- mlx
- mlx-my-repo
base_model: huihui-ai/EXAONE-3.5-32B-Instruct-abliterated
pipeline_tag: text-generation
library_name: transformers
KYUNGYONG/EXAONE-3.5-32B-Instruct-abliterated-Q4-mlx
The Model KYUNGYONG/EXAONE-3.5-32B-Instruct-abliterated-Q4-mlx was converted to MLX format from huihui-ai/EXAONE-3.5-32B-Instruct-abliterated using mlx-lm version 0.21.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("KYUNGYONG/EXAONE-3.5-32B-Instruct-abliterated-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)