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Model: kyujinpy/Ko-PlatYi-6B
Source: Original Platform

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
+---
+
+# **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-O | 49.00 | 43.52 | 53.59 | 47.47 | 41.01 | 59.39 |  
+| Ko-PlatYi-6B-kiwi | 48.75 | 41.98 | 53.61 | 46.10 | 38.30 | 63.75 |  
+| Ko-PlatYi-6B-gu | 48.76 | 42.75 | 54.00 | 44.66 | 41.22 | 61.16 |  
+| **Ko-PlatYi-6B** | 49.97 | 43.00 | 53.55 | 46.50 | 40.31 | 66.47 |
+| Yi-Ko-6B | 48.79 | 41.04 | 53.39 | 46.28 | 41.64 | 61.63 
+   
+--- 
+## AI-Harness Evaluation  
+> AI-Harness evaluation; [link](https://github.com/Beomi/ko-lm-evaluation-harness)   
+  
+| Model | BoolQ | Copa | HellaSwag | Sentineg | 
+| --- | --- | --- | --- | --- | 
+|  | *Zero-shot* ||||
+| Ko-PlatYi-6B-O | 0.3343 | 0.7687 | 0.4833 | 0.5794 | 
+| Ko-PlatYi-6B-kiwi | 0.3343 | 0.7665 | 0.4746 | **0.6248** | 
+| Ko-PlatYi-6B-gu | **0.7077** | **0.7696** | 0.4797 | 0.3979 | 
+| **Ko-PlatYi-6B** | 0.3343 | 0.7684 | **0.4917** | 0.5226 | 
+| Yi-Ko-6B | **0.7070** | 0.7696 | **0.5009** | 0.4044 | 
+  
+---
+# 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)
+```