Update README.md

README.md

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----
-license: apache-2.0
----
+---
+language:
+- ko
+library_name: transformers
+pipeline_tag: text-generation
+license: apache-2.0
+---
+
+# **SOLAR-10.7B-v1.0-Instruct**
+
+## Model Details   
+**Model Developers**  
+- myeonghoon kim
+
+**Model Architecture**  
+- SOLAR-10.7B-v1.0-Instruct is an auto-regressive language model based on the LLaMA2 transformer architecture.  
+
+**Base Model**   
+- [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0)   
+
+**Training Dataset**   
+- [Platypus](https://github.com/arielnlee/Platypus)
+
+---  
+# Model comparisons1
+> Ko-LLM leaderboard(11/23; [link](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard))
+   
+| Model | Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
+| --- | --- | --- | --- | --- | --- | --- |
+| **[...your_model_name...]** | NaN | NaN | NaN | NaN | NaN | NaN | 
+  
+---  
+# Model comparisons2
+> AI-Harness evaluation; [link](https://github.com/Beomi/ko-lm-evaluation-harness)   
+   
+| Model | Copa | Copa | HellaSwag | HellaSwag | BoolQ | BoolQ | Sentineg | Sentineg |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+|  | 0-shot | 5-shot | 0-shot | 5-shot | 0-shot | 5-shot | 0-shot | 5-shot |
+| **SOLAR-10.7B-v1.0-Instruct** | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
+  
+---
+# Implementation Code
+```python
+### KO-Platypus
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+repo = "[...your_model_repo...]"
+OpenOrca = AutoModelForCausalLM.from_pretrained(
+        repo,
+        return_dict=True,
+        torch_dtype=torch.float16,
+        device_map='auto'
+)
+OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
+```
+
+---