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Custom-KoLLM-13B-v2

Text Generation
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PyTorch
Safetensors
Korean
llama
text-generation-inference
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  | Model | Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
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  | --- | --- | --- | --- | --- | --- | --- |
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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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  # 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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  | --- | --- | --- | --- | --- | --- | --- |
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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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+ ---
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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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+
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+ | Model | Copa | Copa | HellaSwag | HellaSwag | BoolQ | BoolQ | Sentineg | Sentineg |
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+ | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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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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+ | [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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+ ---
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  # Implementation Code
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  ```python
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  ### KO-Platypus