Update README.md

README.md

@@ -3,26 +3,70 @@ license: apache-2.0
 tags:
 - merge
 - mergekit
-- lazymergekit
-- cyixiao/qwen-1.5B-openbookqa
+- lazzymergekit
+- Qwen2
+- Coder
+- Math
+- Bunnycore
+- Instruct
+- OpenBookQA
+- instruction-following
+- long-form-generation
+base_model:
 - unsloth/Qwen2.5-Coder-1.5B-Instruct
-- Qwen/Qwen2.5-Math-1.5B-Instruct
-- bunnycore/Qwen2.5-1.5B-Matrix
-- Syed-Hasan-8503/Qwen2.5-1.5B-Instruct-WO-Adam-mini
-- Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3
 ---
 
-# ZeroXClem/Qwen2.5-1.5B-Instruct-Coder-Math-Bunnycore-Fusion
 
-ZeroXClem/Qwen2.5-1.5B-Instruct-Coder-Math-Bunnycore-Fusion is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
-* [cyixiao/qwen-1.5B-openbookqa](https://huggingface.co/cyixiao/qwen-1.5B-openbookqa)
-* [unsloth/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct)
-* [Qwen/Qwen2.5-Math-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-1.5B-Instruct)
-* [bunnycore/Qwen2.5-1.5B-Matrix](https://huggingface.co/bunnycore/Qwen2.5-1.5B-Matrix)
-* [Syed-Hasan-8503/Qwen2.5-1.5B-Instruct-WO-Adam-mini](https://huggingface.co/Syed-Hasan-8503/Qwen2.5-1.5B-Instruct-WO-Adam-mini)
-* [Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3)
+# **ZeroXClem/Qwen2.5-1.5B-Instruct-Coder-Math-Bunnycore-Fusion**
 
-## 🧩 Configuration
+**ZeroXClem/Qwen2.5-1.5B-Instruct-Coder-Math-Bunnycore-Fusion** is a cutting-edge merged model that combines the finest features from **instruction-following**, **coding**, **mathematical reasoning**, and **factual question-answering**. This powerhouse is designed for high performance in diverse technical, creative, and interactive tasks.
+
+## 🌟 **Family Tree**
+
+This model is the fusion of the following:
+
+- [**cyixiao/qwen-1.5B-openbookqa**](https://huggingface.co/cyixiao/qwen-1.5B-openbookqa)
+- [**unsloth/Qwen2.5-Coder-1.5B-Instruct**](https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct)
+- [**Qwen/Qwen2.5-Math-1.5B-Instruct**](https://huggingface.co/Qwen/Qwen2.5-Math-1.5B-Instruct)
+- [**bunnycore/Qwen2.5-1.5B-Matrix**](https://huggingface.co/bunnycore/Qwen2.5-1.5B-Matrix)
+- [**Syed-Hasan-8503/Qwen2.5-1.5B-Instruct-WO-Adam-mini**](https://huggingface.co/Syed-Hasan-8503/Qwen2.5-1.5B-Instruct-WO-Adam-mini)
+- [**Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3**](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3)
+
+These models have been seamlessly blended to create a versatile AI that excels across multiple domains.
+
+---
+
+## 🧬 **Detailed Model Lineage**
+
+### **A: cyixiao/qwen-1.5B-openbookqa**
+
+- Focuses on factual knowledge and reasoning from the OpenBookQA dataset, providing strong question-answering capabilities.
+
+### **B: unsloth/Qwen2.5-Coder-1.5B-Instruct**
+
+- Tailored for **coding** and **instruction-following**, this model enhances the ability to generate code and follow precise instructions with ease.
+
+### **C: Qwen/Qwen2.5-Math-1.5B-Instruct**
+
+- This model specializes in **mathematical reasoning** and logical problem-solving, making it perfect for structured tasks that require high-level thinking.
+
+### **D: bunnycore/Qwen2.5-1.5B-Matrix**
+
+- A multi-purpose model that blends **instruction**, **math**, and **coding**, providing a well-rounded performance in both structured and creative tasks.
+
+### **E: Syed-Hasan-8503/Qwen2.5-1.5B-Instruct-WO-Adam-mini**
+
+- Fine-tuned on conversational and identity-specific tasks, this model contributes to the model’s ability to handle **conversation-heavy** tasks with clarity.
+
+### **F: Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3**
+
+- This model brings **uncensored** capabilities, ensuring that the AI is flexible and adaptable in open-ended and unrestricted instruction-following scenarios.
+
+---
+
+## 🛠️ **Merge Details**
+
+The model was merged using the **DELLA merge method** with **bfloat16** precision, ensuring high-performance across multiple task types. Here's the configuration used for the merge:
 
 ```yaml
 merge_method: della
@@ -32,7 +76,7 @@ parameters:
   lambda: 1.0
   normalize: true
 
-base_model: unsloth/Qwen2.5-Coder-1.5B-Instruct  # Explicitly declare base model
+base_model: unsloth/Qwen2.5-Coder-1.5B-Instruct
 
 models:
   - model: cyixiao/qwen-1.5B-openbookqa
@@ -59,4 +103,45 @@ models:
     parameters:
       weight: 1
       density: 0.5
-```
+
+```
+
+---
+
+## 🎯 **Key Features & Capabilities**
+
+### **1. Coding and Instruction Following**:
+
+This model excels in technical coding tasks thanks to the contributions from **Qwen2.5-Coder** and **Matrix**.
+
+### **2. Mathematical Reasoning**:
+
+With **Qwen2.5-Math-1.5B-Instruct**, the model is perfect for solving complex **mathematical problems** and structured logical tasks.
+
+### **3. Conversational Abilities**:
+
+Fine-tuned on conversation and identity tasks, the model handles complex dialogue and conversational exchanges with **Syed-Hasan-8503**.
+
+### **4. Uncensored Versatility**:
+
+Thanks to **Josiefied-Qwen2.5**, this model can operate without restrictions, making it ideal for **open-ended instruction-following**.
+
+---
+
+## 📜 **License**
+
+This model is open-sourced under the **Apache-2.0 License**, allowing others to use and modify it freely, as long as they give proper attribution.
+
+---
+
+## 💡 **Tags**
+
+- `merge`
+- `Qwen`
+- `Coder`
+- `Math`
+- `Bunnycore`
+- `instruction-following`
+- `long-form-generation`
+
+---