Upload README.md

README.md

@@ -1,3 +1,49 @@
 ---
+language:
+- ko
+datasets:
+- kyujinpy/KOR-Orca-Platypus-kiwi
+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`.**  
+
+# **KOR-Orca-Platypus-kiwi🥝**   
+
+## Model Details
+
+**Model Developers** Kyujin Han (kyujinpy)
+
+**Model Architecture**  
+ko-platypus-kiwi-13B is an auto-regressive language model based on the LLaMA2 transformer architecture.
+
+**Base Model**  [hyunseoki/ko-en-llama2-13b](https://huggingface.co/hyunseoki/ko-en-llama2-13b)   
+
+**Training Dataset**  
+I used [kyujinpy/KOR-Orca-Platypus-kiwi](https://huggingface.co/datasets/kyujinpy/KOR-Orca-Platypus-kiwi).  
+
+
+# Model comparisons
+| Model | Average |Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
+| --- | --- | --- | --- | --- | --- | --- |
+| **ko-platypus-kiwi-13B🥝** | 48.97 | 42.41 | 54.29 | 41.98 | 40.05 | 66.12 |  
+
+# Implementation Code
+```python
+### KO-Platypus
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+repo = "kyujinpy/ko-platypus-kiwi-13B"
+OpenOrca = AutoModelForCausalLM.from_pretrained(
+        repo,
+        return_dict=True,
+        torch_dtype=torch.float16,
+        device_map='auto'
+)
+OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
+```
+
+---