Upload README.md

README.md

@@ -1,3 +1,61 @@
 ---
+language:
+- ko
+datasets:
+- kyujinpy/KOR-OpenOrca-Platypus-v3
+library_name: transformers
+pipeline_tag: text-generation
 license: cc-by-nc-sa-4.0
 ---
+
+# **Ko-PlatYi-6B**  
+<img src='./Ko-PlatYi.png' width=256>
+
+## Model Details
+
+**Model Developers** Kyujin Han (kyujinpy)
+
+**Input** Models input text only.
+
+**Output** Models generate text only.
+
+**Model Architecture**   
+Ko-PlatYi-6B is an auto-regressive language model based on the Yi-34B transformer architecture.
+
+**Blog Link**  
+Blog: [Coming soon...]  
+Github: [Coming soon...]  
+
+**Base Model**    
+[beomi/Yi-Ko-6B](https://huggingface.co/beomi/Yi-Ko-6B)   
+
+**Training Dataset**    
+[kyujinpy/KOR-OpenOrca-Platypus-v3](https://huggingface.co/datasets/kyujinpy/KOR-OpenOrca-Platypus-v3).   
+ 
+# **Model Benchmark**
+
+## Open leaderboard
+- Follow up as [link](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard).  
+
+| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | CommonGen-V2 |
+| --- | --- | --- | --- | --- | --- | --- |  
+| **Ko-PlatYi-6B** | NaN | NaN | NaN | NaN | NaN | NaN |  
+| **Yi-Ko-6B** | 48.79 | 41.04 | 53.39 | 46.28 | 41.64 | 61.63 |  
+  
+# Implementation Code
+```python
+### KO-Platypus
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+repo = "kyujinpy/Ko-PlatYi-6B"
+OpenOrca = AutoModelForCausalLM.from_pretrained(
+        repo,
+        return_dict=True,
+        torch_dtype=torch.float16,
+        device_map='auto'
+)
+OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
+```
+
+---