license:cc-by-nc-sa-4.0 region:us
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license: cc-by-nc-sa-4.0
---

#### Experiment Objectives

1. Is Training with Korean + Multi-lingual dataset helpful to perform Korean benchmarks?
2. Does Full Parameter Depth-Up Scaled Training (expansion method: Llama-Pro) help to perform the best Korean benchmark performance?

#### Methods

1. Training CJK + En + Glot dataset with the same ratio of data size.
2. Layer Expansion and full parameter training.
