EXAONE 3.5: Series of Large Language Models for Real-world Use Cases

LG AI Research, Soyoung An, Kyunghoon Bae, Eunbi Choi, kibong choi, Stanley Choi, Seokhee Hong, Junwon Hwang, jeon, Gerrard Jeongwon Jo, hyunjik.jo, Jiyeon Jung, Yountae Jung, hyosang.kim, joonkeekim, Seonghwan Kim, Soyeon, Sunkyoung Kim, Yireun Kim, Yongil Kim, Youchul Kim, Edward Hwayoung Lee, Haeju Lee, Honglak Lee, Jinsik Lee, Kyungmin Lee, Woohyung Lim, Sangha Park, Sooyoun Park, Yongmin Park, Sihoon Yang, yeen heui yeen, Hyeongu Yun

EXAONE 3.5: Series of Large Language Models for Real-world Use Cases: 51 upvotes on Hugging Face Daily Papers, #2 of 16 papers on 2024-12-09. Day-by-day upvote history.

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.

Paper page on Hugging Face · arXiv

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