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README.md
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| Model | Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
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| ⭐My custom LLM 13B-v1⭐ | 50.19 | 45.99 | 56.93 | 41.78 | 41.66 | **64.58** |
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| ⭐My custom LLM 13B
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# Implementation Code
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```python
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### KO-Platypus
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| Model | Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
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| ⭐My custom LLM 13B-v1⭐ | **50.19** | **45.99** | 56.93 | **41.78** | 41.66 | **64.58** |
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| ⭐My custom LLM 13B-v2⭐ | 48.28 | 45.73 | **56.97** | 38.77 | 38.75 | 61.16 |
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| **⭐My custom LLM 13B-v3⭐** | 46.40 | 44.71 | 56.89 | 40.86 | **44.22** | 45.34 |
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---
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# Model comparisons2
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> AI-Harness evaluation; [link](https://github.com/Beomi/ko-lm-evaluation-harness)
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| Model | Copa | Copa | HellaSwag | HellaSwag | BoolQ | BoolQ | Sentineg | Sentineg |
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| | 0-shot | 5-shot | 0-shot | 5-shot | 0-shot | 5-shot | 0-shot | 5-shot |
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| ⭐My custom LLM 13B-v1⭐ | 0.7987 | 0.8269 | 0.4994 | 0.5660 | 0.3343 | 0.5060 | **0.6984** | 0.9723 |
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| ⭐My custom LLM 13B-v2⭐ | 0.7938 | 0.8209 | 0.4978 | 0.4893 | 0.3343 | 0.5614 | 0.6283 | 0.9773 |
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| **⭐My custom LLM 13B-v3⭐** | **0.8107** | 0.8359 | **0.5176** | 0.5182 | **0.6702** | 0.7851 | 0.5241 | 0.9698 |
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| [beomi/llama-2-koen-13b](https://huggingface.co/beomi/llama-2-koen-13b) | 0.7768 | 0.8128 | 0.4999 | 0.5127 | 0.3988 | 0.7038 | 0.5870 | 0.9748 |
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---
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# Implementation Code
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```python
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### KO-Platypus
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