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README.md

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 ---
+language:
+- ko
+datasets:
+- kyujinpy/KOR-OpenOrca-Platypus-v3
+library_name: transformers
+pipeline_tag: text-generation
 license: cc-by-nc-sa-4.0
 ---
+**(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄에서 개발된 모델입니다**  
+**The license is `cc-by-nc-sa-4.0`.**  
+
+# **🐳Korean-OpenOrca-13B🐳**  
+![img](./Korean-OpenOrca.png)  
+
+## Model Details
+
+**Model Developers** Kyujin Han (kyujinpy)
+
+**Input** Models input text only.
+
+**Output** Models generate text only.
+
+**Model Architecture**  
+Korean-OpenOrca-13B is an auto-regressive language model based on the LLaMA2 transformer architecture.
+
+**Repo Link**  
+Github Korean-OpenOrca: [🐳Korean-OpenOrca🐳](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**  
+I use [kyujinpy/KOR-OpenOrca-Platypus-v3(private! wait!)](https://huggingface.co/datasets/kyujinpy/KOR-OpenOrca-Platypus-v3).  
+
+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 |
+| --- | --- | --- | --- | --- | --- | --- |
+| [Korean-OpenOrca-13B] | 46.59 | 42.06 | 53.95 | 42.28 | 43.55 | 51.12 |  
+| Korean-OpenOrca-13B-v2 | 49.48 | 44.03 | 54.43 | 42.23 | 41.64 | 65.05 |  
+
+> Compare with Top 4 SOTA models. (update: 10/09)
+
+  
+# Implementation Code
+```python
+### KO-Platypus
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+repo = "kyujinpy/Korean-OpenOrca-13B-v2"
+OpenOrca = AutoModelForCausalLM.from_pretrained(
+        repo,
+        return_dict=True,
+        torch_dtype=torch.float16,
+        device_map='auto'
+)
+OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
+```
+
+---