EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
Authors: name: LG AI Research, name: Soyoung An, name: Kyunghoon Bae, name: Eunbi Choi, name: Kibong Choi, name: Stanley Jungkyu Choi, name: Seokhee Hong, name: Junwon Hwang, name: Hyojin Jeon, name: Gerrard Jeongwon Jo, name: Hyunjik Jo, name: Jiyeon Jung, name: Yountae Jung, name: Hyosang Kim, name: Joonkee Kim, name: Seonghwan Kim, name: Soyeon Kim, name: Sunkyoung Kim, name: Yireun Kim, name: Yongil Kim, name: Youchul Kim, name: Edward Hwayoung Lee, name: Haeju Lee, name: Honglak Lee, name: Jinsik Lee, name: Kyungmin Lee, name: Woohyung Lim, name: Sangha Park, name: Sooyoun Park, name: Yongmin Park, name: Sihoon Yang, name: Heuiyeen Yeen, name: Hyeongu Yun
Organization: LG AI Research

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:
contact_us@lgresearch.ai.