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README.md

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 ---
+language:
+- ko
+datasets:
+- kyujinpy/OpenOrca-KO
+- kyujinpy/kyujinpy/KOpen-platypus
+library_name: transformers
+pipeline_tag: text-generation
 license: cc-by-nc-4.0
 ---
+
+# **🐳KoR-Orca-Platypus-13B🐳**  
+![img](./Korean-OpenOrca.png)  
+
+## Model Details
+
+**Model Developers** Kyujin Han (kyujinpy)
+
+**Input** Models input text only.
+
+**Output** Models generate text only.
+
+**Model Architecture**  
+KoR-Orca-Platypus-13B is an auto-regressive language model based on the LLaMA2 transformer architecture.
+
+**Repo Link**  
+Github Korean-OpenOrca: [🐳KoR-Orca-Platypus-13B🐳](https://github.com/Marker-Inc-Korea/Korean-OpenOrca)  
+
+**Base Model**  [hyunseoki/ko-en-llama2-13b](https://huggingface.co/hyunseoki/ko-en-llama2-13b)   
+
+**Training Dataset**  
+Version of combined dataset: [kyujinpy/KOR-OpenOrca-Platypus](https://huggingface.co/datasets/kyujinpy/KOR-OpenOrca-Platypus)
+
+I combined [OpenOrca-KO](https://huggingface.co/datasets/kyujinpy/OpenOrca-KO) and [kyujinpy/KOpen-platypus](https://huggingface.co/datasets/kyujinpy/KOpen-platypus).
+I use A100 GPU 40GB and COLAB, when trianing.
+
+# **Model Benchmark**
+
+## KO-LLM leaderboard
+- Follow up as [Open KO-LLM LeaderBoard](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard).  
+
+| Model | Average |Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
+| --- | --- | --- | --- | --- | --- | --- |
+| KoR-Orca-Platypus-13B🐳(ours) | NaN | NaN | NaN | NaN | NaN | NaN |  
+| [GenAI-llama2-ko-en-platypus](https://huggingface.co/42MARU/GenAI-llama2-ko-en-platypus) | 49.81 | 45.22 | 55.25 | 41.84 | 44.78 | 61.97 |  
+| [KoT-Platypus2-13B](https://huggingface.co/kyujinpy/KoT-platypus2-13B) | 49.55 | 43.69 | 53.05 | 42.29 | 43.34 | 65.38 |  
+| [KO-Platypus2-13B](https://huggingface.co/kyujinpy/KO-Platypus2-13B) | 47.90 | 44.20 | 54.31 | 42.47 | 44.41 | 54.11 | 
+| [Korean-OpenOrca-13B🐳](https://huggingface.co/kyujinpy/Korean-OpenOrca-13B) | 47.85 | 43.09 | 54.13 | 40.24 | 45.22 | 56.57 |  
+
+> Compare with Top 4 SOTA models. (update: 10/14)
+
+  
+# Implementation Code
+```python
+### KO-Platypus
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+repo = "kyujinpy/KoR-Orca-Platypus-13B"
+OpenOrca = AutoModelForCausalLM.from_pretrained(
+        repo,
+        return_dict=True,
+        torch_dtype=torch.float16,
+        device_map='auto'
+)
+OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
+```
+
+---