Update README.md

README.md

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-library_name: transformers
-tags: []
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 <p align="center">
   <img src="https://github.com/MLP-Lab/KORMo-tutorial/blob/main/tutorial/attachment/kormo_logo.png?raw=true" style="width: 100%; max-width: 1100px;">
 </p>
 
-
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 # 🦾 KORMo-10B
 
-**KORMo-10B**는 한국어와 영어를 모두 다루는 **10.8B 파라미터 Fully Open LLM**입니다! 
-모델, 학습 코드, 학습 데이터까지 **모두 완전 공개(Full Stack Open)** 되어 있어 누구나 재현 및 확장이 가능합니다!
+**KORMo-10B** is a **10.8B parameter fully open LLM** capable of handling both **Korean and English**.  
+The model, training code, and training data are all **fully open**, allowing anyone to reproduce and extend it.
 
-- 🧠 **모델 크기**: 10.8B 파라미터  
-- 🗣️ **언어**: 한국어 / 영어 
-- 🪄 **학습 데이터**: 합성 데이터 + 공개 데이터 조합  
-- 🧪 **라이선스**: Apache 2.0 (상업적 사용 가능)
+- 🧠 **Model Size**: 10.8B parameters  
+- 🗣️ **Languages**: Korean / English  
+- 🪄 **Training Data**: Synthetic data + public datasets  
+- 🧪 **License**: Apache 2.0 (commercial use permitted)
 
 ---
 
 ## 🔗 Links
 
-- 🤗 **Hugging Face**:  [👉 모델 다운로드]([https://](https://huggingface.co/KORMo-Team))  
-- 💻 **GitHub Repository**: [👉 학습 및 추론 코드]([https:/](https://github.com/MLP-Lab/KORMo-tutorial))
+- 🤗 **Hugging Face**: [👉 Model Download](https://huggingface.co/KORMo-Team)  
+- 💻 **GitHub Repository**: [👉 Training and Inference Code](https://github.com/MLP-Lab/KORMo-tutorial)
 
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-## 🆕 업데이트 소식
-- 🚀 **2025.10**: KORMo v1.0 정식 릴리스!
+## 🆕 Update News
+- 🚀 **Oct 2025**: Official release of KORMo v1.0!
 
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-## 모델 아키텍처
-| 항목 | 내용 |
-|:----|:----|
+## Model Architecture
+| Item | Description |
+|:----|:------------|
 | Architecture | Transformer Decoder |
 | Parameters | 10.8B |
 | Context Length | 128K |
 | Languages | Korean, English |
 | License | Apache 2.0 |
 
-
 ---
 
-## 📈 벤치마크 성능
-
-### 📊 정량 평가 (Quantitative Evaluation)
+## 📈 Benchmark Performance
 
+### 📊 Quantitative Evaluation
 
 | Benchmark | **KORMo-10B** | smolLM3-3B | olmo2-7B | olmo2-13B | kanana1.5-8B | qwen3-8B | llama3.1-8B | gemma3-4B | gemma3-12B |
 |:-----------|---------------:|-----------:|---------:|---------:|------------:|--------:|-----------:|---------:|----------:|
@@ -81,7 +71,9 @@ tags: []
 | kr_clinical_qa | 77.32 | 53.97 | 48.33 | 46.22 | 65.84 | 80.00 | 63.54 | 60.00 | 77.22 |
 | **Korean Avg.** | **58.15** | 47.37 | 35.82 | 39.34 | 60.94 | 63.35 | 49.60 | 49.60 | 60.37 |
 
-## 📝 정성 평가 (LLM-as-a-Judge)
+---
+
+## 📝 Qualitative Evaluation (LLM-as-a-Judge)
 
 | Benchmark | KORMo-10B | smolLM3-3B | olmo2-7B | olmo2-13B | kanana1.5-8B | qwen3-8B | llama3.1-8B | exaone3.5-8B* | gemma3-12B |
 |:----------|---------:|----------:|---------:|---------:|------------:|--------:|------------:|-------------:|-----------:|
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 ## Contact
- - 임경태(KyungTae Lim), Professor at Seoultech. `[email protected]`
+- KyungTae Lim, Professor at Seoultech. `[email protected]`
 
-## Contributor
+## Contributor