---
license: apache-2.0
tags:
- merge
- mergekit
- lazzymergekit
- Qwen2
- Coder
- Math
- Bunnycore
- Instruct
- OpenBookQA
- instruction-following
- long-form-generation
base_model:
- unsloth/Qwen2.5-Coder-1.5B-Instruct
---


# **ZeroXClem/Qwen2.5-1.5B-Instruct-Coder-Math-Bunnycore-Fusion**

**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
dtype: bfloat16
parameters:
  epsilon: 0.1
  lambda: 1.0
  normalize: true

base_model: unsloth/Qwen2.5-Coder-1.5B-Instruct

models:
  - model: cyixiao/qwen-1.5B-openbookqa
    parameters:
      weight: 1
      density: 0.5
  - model: unsloth/Qwen2.5-Coder-1.5B-Instruct
    parameters:
      weight: 1
      density: 0.6
  - model: Qwen/Qwen2.5-Math-1.5B-Instruct
    parameters:
      weight: 1
      density: 0.55
  - model: bunnycore/Qwen2.5-1.5B-Matrix
    parameters:
      weight: 1
      density: 0.55
  - model: Syed-Hasan-8503/Qwen2.5-1.5B-Instruct-WO-Adam-mini
    parameters:
      weight: 1
      density: 0.45
  - model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v3
    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`

---