Upload README.md

README.md

@@ -15,24 +15,28 @@ license: cc-by-nc-4.0
 ## Model Details
 
 **Model Developers** Kyujin Han (kyujinpy)
-
+  
 **Input** Models input text only.
-
+  
 **Output** Models generate text only.
-
-**Model Architecture** 
+  
+**Model Architecture**  
 Poly-platypus-ko is an auto-regressive language model based on the LLaMA2 transformer architecture.  
-
+  
+**Repo Link**  
+Github KO-platypus2: [KO-platypus2](https://github.com/Marker-Inc-Korea/KO-Platypus)  
+Github Poly-platypus-ko: [Poly-platypus-ko](https://github.com/KyujinHan/Poly-platypus-ko)  
+  
 **Base Model**  
 [Polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b)  
-
+  
 **Fine-tuning method**  
 Same as [KO-Platypus2](https://github.com/Marker-Inc-Korea/CoT-llama2).  
-
+  
 **Training Dataset**  
 I use [KOpen-platypus dataset](https://huggingface.co/datasets/kyujinpy/KOpen-platypus).   
 I use A100 GPU 40GB and COLAB, when trianing.  
-  
+   
 ---
 # **Model Bechmark1**
 
@@ -45,9 +49,8 @@ I use A100 GPU 40GB and COLAB, when trianing.
 | [KoT-platypus2-7B](https://huggingface.co/kyujinpy/KoT-platypus2-7B) | 45.62 | 38.05 | 49.63 | 34.68 | 37.69 | 68.08 |
 | [KO-platypus2-7B-EX](https://huggingface.co/kyujinpy/KO-Platypus2-7B-ex) | 45.41 | 39.08 | 50.86 | 34.60 | 37.94 | 64.55 |
 | [42MARU/polyglot-ko-12.8b-instruct](https://huggingface.co/42MARU/polyglot-ko-12.8b-instruct) | 43.89 | 36.35 | 51.59 | 26.38 | 45.16 | 59.98 |
-| [FINDA-FIT/llama-p](https://huggingface.co/FINDA-FIT/llama-p) | 43.63 | 39.59 | 50.74 | 33.85 | 38.09 | 55.87 |  
-| [lcw99/polyglot-ko-12.8b-chang-instruct-chat](https://huggingface.co/lcw99/polyglot-ko-12.8b-chang-instruct-chat) | 43.06 | 34.90 | 52.72 | 25.98 | 44.44 | 57.28 |  
-> Compare with Top 5 SOTA models. (update: 10/01)
+| [FINDA-FIT/llama-p](https://huggingface.co/FINDA-FIT/llama-p) | 43.63 | 39.59 | 50.74 | 33.85 | 38.09 | 55.87 |   
+> Compare with Top 4 SOTA models. (update: 10/01)
 
 ---  
 # **Model Benchmark2**