Update README.md

README.md

@@ -27,6 +27,24 @@ SmartLlama-3-Ko-8B-256k-PoSE is an advanced AI model that integrates the capabil
 - **abacusai/Llama-3-Smaug-8B**: Improves the model's performance in real-world, multi-turn conversations, which is crucial for applications in customer service and interactive learning environments.
 - **beomi/Llama-3-Open-Ko-8B-Instruct-preview**: Focuses on improving understanding and generation of Korean, offering robust solutions for bilingual or multilingual applications targeting Korean-speaking audiences.
 
+## Key Features
+
+- **Extended Context Length**: Utilizes the PoSE (Positional Encoding) technique to handle up to 256,000 tokens, making it ideal for analyzing large volumes of text such as books, comprehensive reports, and lengthy communications.
+  
+- **Multilingual Support**: While primarily focused on Korean language processing, this model also provides robust support for multiple languages, enhancing its utility in global applications.
+  
+- **Advanced Integration of Models**: Combines strengths from various models including NousResearch's Meta-Llama-3-8B, the instruction-following capabilities of Llama-3-Open-Ko-8B-Instruct-preview, and specialized capabilities from models like Llama-3-Smaug-8B for nuanced dialogues and Orca-1.0-8B for technical precision.
+
+## Models Merged
+
+The following models were included in the merge:
+- **winglian/llama-3-8b-256k-PoSE**: Extends the context handling capability.
+- **Locutusque/Llama-3-Orca-1.0-8B**: Enhances abilities in handling technical content.
+- **abacusai/Llama-3-Smaug-8B**: Improves multi-turn conversational abilities.
+- **beomi/Llama-3-Open-Ko-8B-Instruct-preview**: Provides enhanced capabilities for Korean language processing.
+- **NousResearch/Meta-Llama-3-8B-Instruct**: Offers advanced instruction-following capabilities.
+
+
 ### Merge Method
 - **DARE TIES**: This method was employed to ensure that each component model contributes effectively to the merged model, maintaining a high level of performance across diverse applications. NousResearch/Meta-Llama-3-8B served as the base model for this integration, providing a stable and powerful framework for the other models to build upon.