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PragyanXNitinAI/
Pragyan.ai

Name: Pragyan.ai
Availability: InStock

text-generation-inference

endpoints_compatible

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🇮🇳 India’s First Open Multilingual AI Model (3B Parameters)

Developed by: Nitin Raj(PragyanXNitinAI )

🌟 📌 Model Summary

Pragyan.ai is a powerful 3-billion-parameter multilingual Large Language Model (LLM) created to bring advanced AI capabilities to India and the global community. It is designed for conversation, reasoning, content creation, and coding tasks, with a special focus on Indian languages and cultural context.

🔥 Key Identity: 👉 Pragyan.ai proudly represents the emergence of India’s first AI model vision — lightweight, open, and impactful.

🚀 ✨ Key Highlights

🇮🇳 India’s First AI Identity crafted for cultural & linguistic relevance.
🧠 3B Parameters ensuring high-quality reasoning & generation.
🌐 Multilingual Intelligence — English, Hindi, plus partial Indic support.
⚡ Optimized for speed and low resource usage (BF16).
🔓 Fully Open-Source (Apache 2.0) — Commercial-friendly.
🛡 Safety-Aligned with ethical and responsible AI principles.

🎯 Intended Use

✔ Recommended Applications

🗣️ Conversational AI & Chatbots
📝 Content creation — blogs, stories, marketing, etc.
🤖 Code generation & developer aid
📚 Education & tutoring
🔍 Summarization, reasoning & analysis
🇮🇳 Indian-language AI systems

🚫 Not Suitable For

❌ Medical, legal, or financial decision-making
❌ Safety-critical environments
❌ Misinformation, harmful, or deceptive activities
❌ Fully autonomous decision-making without human review

📂 Training Data

Pragyan.ai was trained on a diverse mixture of:

📘 Public multilingual datasets (English + Hindi focused)
🌍 Open web text
🤝 Instruction datasets for alignment & chat abilities

⚠ Note: Training data may contain societal biases, and the model may occasionally reflect them.

📈 Model Evaluation

✔ Evaluated On

Text generation fluency
Reasoning tasks
Instruction-following
English & Hindi conversation

⭐ Performance Observations

Strong coherence and clarity in English.
Highly fluent Hindi responses.
Moderate reasoning capability for a 3B model.
Occasional hallucinations — verification required.
Varied accuracy in regional Indic languages.

⚠️ Limitations

May generate incorrect or hallucinated information.
Limited deep reasoning compared to larger LLMs.
May misinterpret complex or ambiguous prompts.
Not designed for critical, expert-level domains.
Can reflect biases present in training sources.

🛡 Ethical Considerations

Users should ensure:

✔ Human supervision for important decisions.
✔ Output filtering where needed.
✔ Avoidance of harmful or malicious use cases.
✔ Transparency when using AI-generated content.

Pragyan.ai is released to empower innovation, not encourage misuse.

🧪 How to Use

python

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_id = "PragyanXNitinAI/Pragyan.ai"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id, 
    torch_dtype=torch.bfloat16, 
    device_map="auto"
)

prompt = "Explain the impact of AI in India."
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=200)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))```

📜 License
​📄 Apache License 2.0
You may freely use, modify, distribute, and integrate this model — including in commercial applications — with proper attribution.
​🤝 Community & Contributions
​We welcome:
​⭐ Pull requests
​🔧 Fine-tuned model variants
​🧪 Benchmarks
​🌐 Language expansion contributions
​🐞 Issue reports
​📬 Contact
​Creator: PragyanXNitinAI
​Model Page: https://huggingface.co/PragyanXNitinAI/Pragyan.ai
​✨ Feel free to reach out for collaboration, research, or enterprise integration.
​⭐ If Pragyan.ai inspires you, please star the model — Support open-source AI from India! 🇮🇳