Nidum Llama 3.2 3b Uncensored

1,090 5 weeks ago

Readme

Nidum-Llama-3.2-3B-Uncensored

GitHub Icon
Explore Nidum’s Open-Source Projects on GitHub: https://github.com/NidumAI-Inc

Welcome to Nidum, where innovation meets limitless potential. With Nidum-Llama-3.2-3B-Uncensored, we redefine AI capabilities by offering advanced, unrestricted, and adaptable solutions for diverse applications.


🚀 Key Features

  1. Unrestricted Responses
    Delivers uninhibited and detailed answers, handling any topic or query.

  2. Versatility
    Excels in various tasks, including technical problem-solving, creative writing, and casual conversations.

  3. Advanced Contextual Understanding
    Powered by a robust knowledge base for accurate, context-aware interactions.

  4. Extended Context Handling
    Optimized to maintain coherence and depth in long, complex dialogues.

  5. Customizability
    Easily adaptable to specific use cases and user preferences through fine-tuning.


🛠️ Applications

  • Open-Ended Q&A
  • Creative Writing & Ideation
  • Research Assistance
  • Educational Support
  • Mathematical Problem-Solving
  • Casual Conversations
  • Long-Context Dialogues

💻 Getting Started

Here’s how to integrate Nidum-Llama-3.2-3B-Uncensored into your project:

from ollama import chat
from ollama import ChatResponse

# Example usage
response: ChatResponse = chat(model='llama3.2', messages=[
  {
    'role': 'user',
    'content': 'Why is the sky blue?',
  },
])

# Print response
print(response['message']['content'])

# Or access fields directly
print(response.message.content)

📊 Performance Benchmarks

Fine-tuned on uncensored data, Nidum-Llama-3.2-3B-Uncensored consistently outperforms the original LLaMA model in key benchmarks:

Benchmark Metric LLaMA 3B Nidum 3B Key Insights
GPQA Exact Match 0.3 0.5 Significant improvement in generative and zero-shot tasks.
Accuracy 0.4 0.5 Consistently better in knowledge-intensive scenarios.
HellaSwag Accuracy 0.3 0.4 Enhanced common-sense reasoning and context prediction.

🔧 Fine-Tuning Datasets

Our model’s performance is enhanced by leveraging curated datasets:

  • Uncensored Data: Enables unrestricted and open-ended responses.
  • RAG-Based Fine-Tuning: Optimizes knowledge-intensive generation.
  • Long Context Fine-Tuning: Improves coherence in extended dialogues.
  • Math-Instruct Data: Refines precision in mathematical reasoning.

🤝 Contributing

We welcome contributions to further enhance Nidum-Llama-3.2-3B-Uncensored. Explore our open-source projects on GitHub.


📬 Contact

For inquiries, collaborations, or support, email us at info@nidum.ai.


🌟 Explore the Possibilities

Unleash your creativity and tackle challenges with Nidum-Llama-3.2-3B-Uncensored—your ultimate tool for innovation and exploration!