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
Published: 2024-12-06 08:53:46

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:
contact_us@lgresearch.ai.