🪐 SKT-TEST-GDP

SMALLEST MODEL EVER

The Sovereign Data Foundation for Indigenous LLM Development (Project Om)

Developed by SKT AI Labs | Lead Developer: Shrijan

⚠️ IMPORTANT NOTE: Yeh model sirf testing purposes ke liye banaya gaya hai. This is a test-based version only for experimental analysis.

This repository contains the SKT-TEST-GDP model, a custom-architectured neural network built to analyze and predict global economic indicators. It is trained on a dataset of 160,000 (160K) records (Countries.jsonl.csv) to provide insights into GDP trends and growth patterns during this testing phase.

🚀 Model Identity & Architecture

Unlike standard LLMs, this model uses the SKT-Net architecture—a specialized dense neural network designed by Shrijan Kumar Tiwari.

• Architecture Name: SKT-Net (Custom)
• Status: Testing Phase (Experimental)
• Input Features: 53 Global Economic Parameters.

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📁 Repository Contents

File Name	Description
testgdp.gguf	Quantized version for testing on mobile And Pc.
testgdp.safetensors	Secure and fast-loading tensor format for Python.
SKT_Final_Trained_Model.pth	Original PyTorch weights for testing.
Countries.jsonl.csv	Dataset containing 160K records used for this test run.

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🛠️ Usage

To load the model in Python using PyTorch:

import torch

# Load the SKT-Net Weights
checkpoint = torch.load('SKT_Final_Trained_Model.pth')

# Verify Identity
print(f"Model Name: {checkpoint.get('model_name', 'SKT-TEST-GDP')}")
print(f"Developer: {checkpoint.get('developer', 'Shrijan Kumar Tiwari')}")

📜 Credits & License

• Organization: SKT AI Labs

• Location: Sidhi, Madhya Pradesh, India