metadata
base_model: LGAI-EXAONE/EXAONE-Deep-32B
base_model_relation: finetune
license: other
license_name: exaone
license_link: LICENSE
language:
- en
- ko
tags:
- lg-ai
- exaone
- exaone-deep
- mlx
- mlx-my-repo
pipeline_tag: text-generation
library_name: transformers
KYUNGYONG/EXAONE-Deep-32B-mlx-3Bit
The Model KYUNGYONG/EXAONE-Deep-32B-mlx-3Bit was converted to MLX format from LGAI-EXAONE/EXAONE-Deep-32B 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-Deep-32B-mlx-3Bit")
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)