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Computer Science > Computation and Language

arXiv:2408.03541 (cs)
[Submitted on 7 Aug 2024 (v1), last revised 13 Aug 2024 (this version, v3)]

Title:EXAONE 3.0 7.8B Instruction Tuned Language Model

Authors:LG AI Research: Soyoung An, Kyunghoon Bae, Eunbi Choi, Stanley Jungkyu Choi, Yemuk Choi, Seokhee Hong, Yeonjung Hong, Junwon Hwang, Hyojin Jeon, Gerrard Jeongwon Jo, Hyunjik Jo, Jiyeon Jung, Yountae Jung, Euisoon Kim, Hyosang Kim, Joonkee Kim, Seonghwan Kim, Soyeon Kim, Sunkyoung Kim, Yireun Kim, Youchul Kim, Edward Hwayoung Lee, Haeju Lee, Honglak Lee, Jinsik Lee, Kyungmin Lee, Moontae Lee, Seungjun Lee, Woohyung Lim, Sangha Park, Sooyoun Park, Yongmin Park, Boseong Seo, Sihoon Yang, Heuiyeen Yeen, Kyungjae Yoo, Hyeongu Yun
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Abstract:We introduce EXAONE 3.0 instruction-tuned language model, the first open model in the family of Large Language Models (LLMs) developed by LG AI Research. Among different model sizes, we publicly release the 7.8B instruction-tuned model to promote open research and innovations. Through extensive evaluations across a wide range of public and in-house benchmarks, EXAONE 3.0 demonstrates highly competitive real-world performance with instruction-following capability against other state-of-the-art open models of similar size. Our comparative analysis shows that EXAONE 3.0 excels particularly in Korean, while achieving compelling performance across general tasks and complex reasoning. With its strong real-world effectiveness and bilingual proficiency, we hope that EXAONE keeps contributing to advancements in Expert AI. Our EXAONE 3.0 instruction-tuned model is available at this https URL
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2408.03541 [cs.CL]
  (or arXiv:2408.03541v3 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2408.03541
arXiv-issued DOI via DataCite

Submission history

From: Jinsik Lee [view email]
[v1] Wed, 7 Aug 2024 04:38:38 UTC (54 KB)
[v2] Thu, 8 Aug 2024 04:35:23 UTC (54 KB)
[v3] Tue, 13 Aug 2024 10:09:32 UTC (38 KB)
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