A 102B Korean-English model, expanded from Llama 3 70B with LlamaPro and Masked Structure Growth and trained on 194B tokens, scores 64.74 on KMMLU and 83.34 on KorMedMCQA, roughly matching GPT-4 on Korean benchmarks.
Accessed: 2024-09-28
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study
A 102B Korean-English model, expanded from Llama 3 70B with LlamaPro and Masked Structure Growth and trained on 194B tokens, scores 64.74 on KMMLU and 83.34 on KorMedMCQA, roughly matching GPT-4 on Korean benchmarks.