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  - merge
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  - mergekit
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  - lazymergekit
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # ZeroXClem-Qwen2.5-7B-HomerFuse-NerdExp
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- ZeroXClem-Qwen2.5-7B-HomerFuse-NerdExp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
 
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- ## 🧩 Configuration
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- ```yaml
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- # Merge configuration for ZeroXClem-Qwen2.5-7B-HomerFuse-NerdExp using MODEL STOCK
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  name: ZeroXClem-Qwen2.5-7B-HomerFuse-NerdExp
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  base_model: allknowingroger/HomerSlerp6-7B
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  dtype: bfloat16
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  - model: bunnycore/Qwen2.5-7B-Fuse-Exp
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  - model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
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  tokenizer_source: allknowingroger/HomerSlerp6-7B
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - merge
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  - mergekit
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  - lazymergekit
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+ - ZeroXClem-Qwen2.5-7B-HomerFuse-NerdExp
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+ language:
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+ - en
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+ base_model:
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+ - allknowingroger/HomerSlerp6-7B
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+ - jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0
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+ - bunnycore/Blabbertron-1.0
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+ - bunnycore/Qwen2.5-7B-Fuse-Exp
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+ - Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
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+ pipeline_tag: text-generation
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+ library_name: transformers
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  ---
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  # ZeroXClem-Qwen2.5-7B-HomerFuse-NerdExp
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+ ### πŸš€ **Overview**
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+ **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.
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+ ---
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+ ## πŸ›  **Merge Details**
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+ - **Merge Method:** `model_stock`
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+ - **Base Model:** [allknowingroger/HomerSlerp6-7B](https://huggingface.co/allknowingroger/HomerSlerp6-7B)
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+ - **Data Type:** `bfloat16`
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+ - **Tokenizer Source:** `allknowingroger/HomerSlerp6-7B`
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+
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+ ### πŸ”— **Merged Models**
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+ This fusion includes carefully selected models to enhance **general intelligence**, **technical depth**, and **roleplay capabilities**:
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+
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+ | Model Name | Description |
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+ |------------|-------------|
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+ | [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. |
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+ | [bunnycore/Blabbertron-1.0](https://huggingface.co/bunnycore/Blabbertron-1.0) | A model optimized for free-flowing and expressive conversation. |
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+ | [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. |
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+ | [Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview](https://huggingface.co/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview) | Enhanced context comprehension and complex reasoning capabilities. |
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+
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+ ---
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+ ## βš™ **Configuration**
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+ ```yaml
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  name: ZeroXClem-Qwen2.5-7B-HomerFuse-NerdExp
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  base_model: allknowingroger/HomerSlerp6-7B
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  dtype: bfloat16
 
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  - model: bunnycore/Qwen2.5-7B-Fuse-Exp
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  - model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
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  tokenizer_source: allknowingroger/HomerSlerp6-7B
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+ ```
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+
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+ ---
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+
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+ ## 🧠 **Why This Model?**
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+ βœ… **Balanced Fusion** – A well-calibrated mix of reasoning, factual accuracy, and expressive depth.
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+ βœ… **Uncensored Knowledge** – Suitable for academic, technical, and exploratory conversations.
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+ βœ… **Enhanced Context Retention** – Ideal for long-form discussions and in-depth analysis.
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+ βœ… **Diverse Applications** – Can handle creative writing, roleplay, and problem-solving tasks.
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+
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+ ---
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+
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+ ## πŸ›  How to Use
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+
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+ ### πŸ”₯ Ollama (Quick Inference)
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+
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+ You can run the model using **Ollama** for direct testing:
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+
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+ ```bash
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+ ollama run hf.co/ZeroXClem/Qwen2.5-7B-HomerFuse-NerdExp-Q4_K_M-GGUF
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+ ```
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+
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+ ### πŸ€— Hugging Face Transformers (Python)
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+
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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+ import torch
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+
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+ model_name = "ZeroXClem/Qwen2.5-7B-HomerFuse-NerdExp"
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+
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+ # Load tokenizer & model
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+ tokenizer = AutoTokenizer.from_pretrained(model_name)
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+ model = AutoModelForCausalLM.from_pretrained(
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+ model_name,
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+ torch_dtype=torch.bfloat16,
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+ device_map="auto"
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+ )
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+
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+ # Initialize text generation pipeline
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+ text_generator = pipeline(
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+ "text-generation",
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+ model=model,
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+ tokenizer=tokenizer,
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+ torch_dtype=torch.bfloat16,
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+ device_map="auto"
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+ )
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+
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+ # Example prompt
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+ prompt = "Describe the significance of AI ethics in modern technology."
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+
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+ # Generate output
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+ outputs = text_generator(
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+ prompt,
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+ max_new_tokens=200,
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+ do_sample=True,
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+ temperature=0.7,
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+ top_k=50,
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+ top_p=0.95
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+ )
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+
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+ print(outputs[0]["generated_text"])
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+ ```
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+
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+ ---
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+
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+ ## πŸ† **Performance & Benchmarks**
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+ 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.
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+
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+ ---
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+
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+ ## πŸ”₯ **Usage Recommendations**
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+ For best performance, ensure that you:
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+ - Use the correct tokenizer: `allknowingroger/HomerSlerp6-7B`
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+ - Fine-tune prompts for logical reasoning with a **step-by-step approach**.
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+ - Utilize the model in an interactive setting for **long-form discussions**.
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+
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+ ---
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+
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+ ## 🎯 **Future Plans**
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+ - πŸš€ Further optimization for **multi-turn dialogues** and **zero-shot reasoning**.
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+ - 🧠 Improving knowledge distillation for **factual consistency**.
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+ - 🎭 Enhancing **character roleplay depth** with better expressiveness.
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+
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+ ---
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+
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+ ## πŸ“’ **Feedback & Contributions**
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+ This is an **open project**, and your feedback is invaluable!
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+ πŸ’¬ **Leave a review** or **open a discussion** on [Hugging Face](https://huggingface.co/ZeroXClem).
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+
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+ ---
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+
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+ ### ❀️ **Acknowledgments**
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+ A huge thanks to **ALL the contributors & model creators** and **Hugging Face's mergekit community** for pushing the boundaries of AI model merging!
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+
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+ ---