metadata
base_model: LGAI-EXAONE/EXAONE-Deep-2.4B
base_model_relation: finetune
license: other
license_name: exaone
license_link: LICENSE
language:
- en
- ko
tags:
- lg-ai
- exaone
- exaone-deep
- mlx
pipeline_tag: text-generation
library_name: transformers
alexgusevski/EXAONE-Deep-2.4B-fp16-mlx
The Model alexgusevski/EXAONE-Deep-2.4B-fp16-mlx was converted to MLX format from LGAI-EXAONE/EXAONE-Deep-2.4B using mlx-lm version 0.22.0.
P.S. Don't forget to change the prompt template according to this https://github.com/LG-AI-EXAONE/EXAONE-Deep#lm-studio
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("alexgusevski/EXAONE-Deep-2.4B-fp16-mlx")
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)