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--- |
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language: |
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- ko |
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datasets: |
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- kyujinpy/Ko-various-dataset |
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library_name: transformers |
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pipeline_tag: text-generation |
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license: cc-by-nc-sa-4.0 |
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--- |
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# **⭐My custom LLM 13B⭐** |
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## Model Details |
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**Model Developers** |
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- Kyujin Han (kyujinpy) |
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**Model Architecture** |
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- My custom LLM 13B is an auto-regressive language model based on the LLaMA2 transformer architecture. |
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**Base Model** |
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- [beomi/llama-2-koen-13b](https://huggingface.co/beomi/llama-2-koen-13b) |
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**Training Dataset** |
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- [kyujinpy/Ko-various-dataset](https://huggingface.co/datasets/kyujinpy/Ko-various-dataset). |
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--- |
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# Model comparisons |
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> Ko-LLM leaderboard(11/27; [link](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard)) |
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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⭐ | NaN | NaN | NaN | NaN | NaN | NaN | |
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| ⭐My custom LLM 13B v3⭐ | NaN | NaN | NaN | NaN | NaN | NaN | |
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# Implementation Code |
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```python |
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### KO-Platypus |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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import torch |
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repo = "PracticeLLM/Custom-KoLLM-13B-v3" |
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OpenOrca = AutoModelForCausalLM.from_pretrained( |
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repo, |
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return_dict=True, |
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torch_dtype=torch.float16, |
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device_map='auto' |
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) |
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OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo) |
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``` |
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--- |
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