Update README.md

README.md

@@ -25,12 +25,42 @@ tags:
 
 ✨ *Navigating the High Seas of Data: Crafting the Ultimate Yacht Insights with Merged LLMs* ✨
 
-## Merge Details
-### Merge Method
+## 🏟️ Merged Model Series Yacht Features
+
+Welcome to the merged model series yacht! This provides an overview of the powerful features and functionalities that this series brings together, akin to a sleek, modern yacht sailing across the digital ocean.
+
+### 1. Function Calling & JSON Outputs
+- Offers precise function calling and structured JSON outputs via specialized tokens like `<tools>`, `<tool_call>`, and `<tool_response>`. Streamlines system communication for developers.
+
+### 2. Conversational Interaction
+- Avoids excessive "SYSTEM MESSAGE" chatter while delivering seamless, friendly dialogue.
+- Specializes in answering questions with precision, handling arithmetic and tabular data effortlessly.
+
+### 3. Expanded Context Length
+- Extends the context length to 256k tokens using PoSE, offering a broader field of data analysis.
+
+### 4. Multilingual Capabilities
+- Transfers instruction-following from English to Korean for reliable interaction across languages.
+
+### 5. Optimized Dialogue & Safety
+- Aligns with human preferences using fine-tuning (SFT) and reinforcement learning (RLHF), ensuring helpful and safe dialogues.
+
+### 6. Precision Merging
+- Merges foundational and preview models for Korean language through task arithmetic, providing seamless integration.
+
+### 7. Specialized Biomedical Knowledge
+- Specializes in biomedical tasks with accurate responses for healthcare professionals and researchers.
+
+### 8. Novel Training & Collaboration
+- Combines ORPO methods and dolphin preference datasets for high-quality conversation and collaboration.
+
+The merged model series yacht offers unparalleled functionality, drawing together a fleet of specialized models. Whether you need precise function calling, multilingual capabilities, or conversational AI, this yacht has every deck optimized to navigate the digital ocean with style and precision.
+
+## 👘 Merge Method
 
 This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) as a base.
 
-### Models Merged
+## 🩱 Models Merged
 
 The following models were included in the merge:
 * [NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B)
@@ -43,7 +73,7 @@ The following models were included in the merge:
 * [Danielbrdz/Barcenas-Llama3-8b-ORPO](https://huggingface.co/Danielbrdz/Barcenas-Llama3-8b-ORPO)
 * [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)
 
-### Configuration
+## 🪭 Configuration
 
 The following YAML configuration was used to produce this model:
 
@@ -104,4 +134,4 @@ parameters:
 dtype: bfloat16
 
 
-```
+```