README.md

---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- ZeroXClem-Qwen2.5-7B-HomerFuse-NerdExp
language:
- en
base_model:
- allknowingroger/HomerSlerp6-7B
- jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0
- bunnycore/Blabbertron-1.0
- bunnycore/Qwen2.5-7B-Fuse-Exp
- Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
pipeline_tag: text-generation
library_name: transformers
---

# ZeroXClem-Qwen2.5-7B-HomerFuse-NerdExp

### 🚀 **Overview**
**ZeroXClem-Qwen2.5-7B-HomerFuse-NerdExp** is a powerful and finely-tuned AI model built on **HomerSlerp6-7B**, with a fusion of **Qwen2.5-7B-based models** to create a unique blend of reasoning, creativity, and enhanced conversational depth. This model is an **experimental fusion** designed to bring **high adaptability**, **deep knowledge**, and **engaging responses** across a wide variety of use cases.

---

## 🛠 **Merge Details**
- **Merge Method:** `model_stock`
- **Base Model:** [allknowingroger/HomerSlerp6-7B](https://huggingface.co/allknowingroger/HomerSlerp6-7B)
- **Data Type:** `bfloat16`
- **Tokenizer Source:** `allknowingroger/HomerSlerp6-7B`

### 🔗 **Merged Models**
This fusion includes carefully selected models to enhance **general intelligence**, **technical depth**, and **roleplay capabilities**:

| Model Name | Description |
|------------|-------------|
| [jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0](https://huggingface.co/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0) | A knowledge-rich, uncensored model with deep expertise in multiple domains. |
| [bunnycore/Blabbertron-1.0](https://huggingface.co/bunnycore/Blabbertron-1.0) | A model optimized for free-flowing and expressive conversation. |
| [bunnycore/Qwen2.5-7B-Fuse-Exp](https://huggingface.co/bunnycore/Qwen2.5-7B-Fuse-Exp) | Experimental fusion of Qwen2.5-based models for nuanced understanding. |
| [Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview](https://huggingface.co/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview) | Enhanced context comprehension and complex reasoning capabilities. |

---

## ⚙ **Configuration**
```yaml
name: ZeroXClem-Qwen2.5-7B-HomerFuse-NerdExp
base_model: allknowingroger/HomerSlerp6-7B
dtype: bfloat16
merge_method: model_stock
models:
  - model: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0
  - model: bunnycore/Blabbertron-1.0
  - model: bunnycore/Qwen2.5-7B-Fuse-Exp
  - model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
tokenizer_source: allknowingroger/HomerSlerp6-7B
```

---

## 🧠 **Why This Model?**
✅ **Balanced Fusion** – A well-calibrated mix of reasoning, factual accuracy, and expressive depth.  
✅ **Uncensored Knowledge** – Suitable for academic, technical, and exploratory conversations.  
✅ **Enhanced Context Retention** – Ideal for long-form discussions and in-depth analysis.  
✅ **Diverse Applications** – Can handle creative writing, roleplay, and problem-solving tasks.  

---

## 🛠 How to Use

### 🔥 Ollama (Quick Inference)

You can run the model using **Ollama** for direct testing:

```bash
ollama run hf.co/ZeroXClem/Qwen2.5-7B-HomerFuse-NerdExp-Q4_K_M-GGUF
```

### 🤗 Hugging Face Transformers (Python)

```python
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
import torch

model_name = "ZeroXClem/Qwen2.5-7B-HomerFuse-NerdExp"

# Load tokenizer & model
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name, 
    torch_dtype=torch.bfloat16, 
    device_map="auto"
)

# Initialize text generation pipeline
text_generator = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)

# Example prompt
prompt = "Describe the significance of AI ethics in modern technology."

# Generate output
outputs = text_generator(
    prompt,
    max_new_tokens=200,
    do_sample=True,
    temperature=0.7,
    top_k=50,
    top_p=0.95
)

print(outputs[0]["generated_text"])
```

---

## 🏆 **Performance & Benchmarks**
This model has been crafted to perform **exceptionally well** across a variety of domains, including reasoning, mathematics, and conversation. Evaluation results will be updated upon testing.

---

## 🔥 **Usage Recommendations**
For best performance, ensure that you:
- Use the correct tokenizer: `allknowingroger/HomerSlerp6-7B`
- Fine-tune prompts for logical reasoning with a **step-by-step approach**.
- Utilize the model in an interactive setting for **long-form discussions**.

---

## 🎯 **Future Plans**
- 🚀 Further optimization for **multi-turn dialogues** and **zero-shot reasoning**.
- 🧠 Improving knowledge distillation for **factual consistency**.
- 🎭 Enhancing **character roleplay depth** with better expressiveness.

---

## 📢 **Feedback & Contributions**
This is an **open project**, and your feedback is invaluable!  
💬 **Leave a review** or **open a discussion** on [Hugging Face](https://huggingface.co/ZeroXClem).  

---

### ❤️ **Acknowledgments**
A huge thanks to **ALL the contributors & model creators** and **Hugging Face's mergekit community** for pushing the boundaries of AI model merging!

---