Delete README.txt

README.txt

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----
-language:
-- ko
-datasets:
-- kyujinpy/OpenOrca-ko-v2
-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-v2🐳**  
-![img](./Korean-OpenOrca.png)  
-
-## Model Details
-
-**Model Developers** Kyujin Han (kyujinpy)
-
-**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 [OpenOrca-ko-v2](https://huggingface.co/datasets/kyujinpy/OpenOrca-ko-v2).  
-Using DeepL, translate about [OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca).
-
-I use A100 GPU 40GB and COLAB, when trianing.
-
-# Model comparisons
-| Model | Average |Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
-| --- | --- | --- | --- | --- | --- | --- |
-| [Korean-OpenOrca-13B🐳] | 48.79 | 43.09 | 54.13 | 40.24 | 45.22 | 61.28 |  
-| Korean-OpenOrca-13B-v2🐳 | 48.17 | 43.17 | 54.51 | 42.90 | 41.82 | 58.44 | 
-
-# 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)
-```
-
----