Qwen2.5 7B HomerFuse NerdExp

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

ZeroXClem-Qwen2.5-7B-HomerFuse-NerdExp is a powerful and finely - tuned AI model. It is built on HomerSlerp6 - 7B and fuses Qwen2.5 - 7B - based models. This unique combination brings together reasoning, creativity, and enhanced conversational depth. It is an experimental fusion that offers high adaptability, deep knowledge, and engaging responses across various use cases.

✨ Features

• 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.

📦 Installation

🔥 Ollama (Quick Inference)

You can run the model using Ollama for direct testing:

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

💻 Usage Examples

Basic Usage

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"])

🔧 Technical Details

🛠 Merge Details

• Merge Method: model_stock
• Base Model: allknowingroger/HomerSlerp6-7B
• Data Type: bfloat16
• Tokenizer Source: allknowingroger/HomerSlerp6-7B

🔗 Merged Models

⚙ Configuration

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

📚 Documentation

🏆 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

⚠️ Important Note

For best performance, ensure that you use the correct tokenizer: allknowingroger/HomerSlerp6-7B.

💡 Usage Tip

• 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.

❤️ Acknowledgments

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

📄 License

This project is licensed under the apache-2.0 license.