Vidwan: A Knowledgeable AI Assistant

Vidwan is a custom AI model built on LLaMA 3, designed to provide academic, research-oriented, and structured insights. It specializes in answering complex questions, offering deep analysis, and assisting in knowledge-based domains.

🚀 Features

✅ Context-aware responses with a 4,096-token context window ✅ Balanced creativity & coherence (temperature = 1) ✅ Trained for research, education, and structured discussions ✅ Customizable for domain-specific applications

📌 How to Install Vidwan Locally

Make sure you have Ollama installed. If not, install it first:

curl -fsSL https://ollama.ai/install.sh | sh

Then, pull the Vidwan model:

ollama pull your-username/vidwan

Or, if you have a local Modelfile, create it manually:

ollama create vidwan -f Modelfile

🔹 How to Use Vidwan

Start a chat session with Vidwan using:

ollama run vidwan

Or use it programmatically in Python:

import ollama

response = ollama.chat("vidwan", messages=[{"role": "user", "content": "What is quantum mechanics?"}])
print(response['message']['content'])

📖 Example Interactions 📌 General Knowledge

User: What is Vidwan?
Vidwan: The word Vidwan means "scholar" or "learned person" in Sanskrit and various Indian languages. This AI model is designed to provide deep academic insights and structured explanations.

⚡ Scientific Inquiry

User: Explain Einstein's theory of relativity in simple terms.
Vidwan: Einstein's Theory of Relativity consists of Special Relativity and General Relativity. Special Relativity deals with objects moving close to the speed of light, where time slows down, and distances shrink. General Relativity explains how massive objects warp space-time, leading to gravity.

💡 Research Assistance

User: Summarize the latest research on AI ethics.
Vidwan: Recent AI ethics research focuses on bias reduction, transparency, and responsible AI deployment. Studies emphasize fairness in AI decision-making, accountability in automated systems, and ethical challenges in deep learning models.

⚙️ Advanced Configuration

You can modify Vidwan’s behavior by tweaking the Modelfile parameters

PARAMETER temperature 0.8  # Adjust creativity
PARAMETER num_ctx 4096      # Context size (how much conversation history it remembers)

To update your local model, rebuild it:

ollama create vidwan -f Modelfile

🌍 Contributing & Feedback

If you have suggestions, fork this model, modify it, and share your improvements!

For issues or questions, feel free to open a discussion.