EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
Abstract
This technical report introduces the EXAONE 3.5 instruction-tuned language models, developed and released by LG AI Research. The EXAONE 3.5 language models are offered in three configurations: 32B, 7.8B, and 2.4B. These models feature several standout capabilities: 1) exceptional instruction following capabilities in real-world scenarios, achieving the highest scores across seven benchmarks, 2) outstanding long-context comprehension, attaining the top performance in four benchmarks, and 3) competitive results compared to state-of-the-art open models of similar sizes across nine general benchmarks. The EXAONE 3.5 language models are open to anyone for research purposes and can be downloaded from https://huggingface.co/LGAI-EXAONE. For commercial use, please reach out to the official contact point of LG AI Research: [email protected].
Keywords
Cite
@article{arxiv.2412.04862,
title = {EXAONE 3.5: Series of Large Language Models for Real-world Use Cases},
author = {Soyoung An and Kyunghoon Bae and Eunbi Choi and Kibong Choi and Stanley Jungkyu Choi and Seokhee Hong and Junwon Hwang and Hyojin Jeon and Gerrard Jeongwon Jo and Hyunjik Jo and Jiyeon Jung and Yountae Jung and Hyosang Kim and Joonkee Kim and Seonghwan Kim and Soyeon Kim and Sunkyoung Kim and Yireun Kim and Yongil Kim and Youchul Kim and Edward Hwayoung Lee and Haeju Lee and Honglak Lee and Jinsik Lee and Kyungmin Lee and Woohyung Lim and Sangha Park and Sooyoun Park and Yongmin Park and Sihoon Yang and Heuiyeen Yeen and Hyeongu Yun},
journal= {arXiv preprint arXiv:2412.04862},
year = {2026}
}