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metadata
language:
  - en
  - ko
license: llama3
library_name: transformers
datasets:
  - legacy-datasets/wikipedia
pipeline_tag: text-generation

Model Details

This model was continually pretrained from the Meta-Llama-3-8B, using English and Korean datasets. The goal is to enhance its proficiency in Korean while maintaining its English language capabilities from the original model.

Datasets

We sampled 16B tokens from the following datasets for training:

Sources Tokens (Llama-3-8B)
AI-Hub 9.2B
Modu Corpus 5.8B
Wikipedia 5.4B

Hyperparameters

Learning rate Optimizer Betas Weight decay Warm-up ratio
3e-5 AdamW (0.9, 0.95) 0.1 0.05

Intended Use

This model has not been fine-tuned, so you will need to train it on your own dataset before using it.

Evaluations

We evaluated this model using both English and Korean benchmarks, and compared it with similar models that were continually pretrained from the Meta-Llama-3-8B.

English Korean
Model MMLU (5 shots) HellaSwag (10 shots) GSM8K (8 shots, CoT) BBH (3 shots, CoT) KMMLU (5 shots) HAE-RAE (5 shots) KoBEST (5 shots)
meta-llama/Meta-Llama-3-8B 65.1 82.1 52.0 61.9 40.2 61.1 69.2
saltlux/Ko-Llama3-Luxia-8B 57.1 77.1 32.3 51.8 39.4 69.2 71.9
beomi/Llama-3-Open-Ko-8B 56.2 77.4 31.5 46.8 40.3 68.1 72.1
beomi/Llama-3-KoEn-8B 52.5 77.7 21.2 43.2 40.8 71.3 73.8
tesser/Tesser-Llama-3-Ko-8B 60.5 79.8 40.3 56.3 42.5 72.1 73.8

License

This model follows the original Llama-3 license.