VeteransVSO — Standalone Local AI Model & Decision Engine

⚡ Live Offline AI Decision Terminal

Model: VECTOR Local v2026.1

🎖️ VECTOR Local AI Model Ready: Ask any Military MOS/Rate (e.g. ABF, 11B, ABE), Title 38 CFR condition rating criteria, VA Combined Math (50% and 30% and 20%), or Rating Protection rules. Type below or click a quick prompt to test.

Quick Test:

📖 Laptop Instructions & Setup Guide

Setup Ready

1. One-Line Offline Python Execution

Run VECTOR Local AI directly from any PowerShell or Command Prompt on your laptop:

python -c "import sys; sys.path.insert(0, r'C:\Users\lwidi\.gemini\antigravity\scratch\veteransvso'); from model_training.local_veteransvso_runner import VeteransVSOLocalAI; ai = VeteransVSOLocalAI(); print(ai.ask('ABF'))"

2. Interactive Terminal Mode

Launch the full interactive command line interface on your laptop:

python C:\Users\lwidi\.gemini\antigravity\scratch\veteransvso\model_training\local_veteransvso_runner.py

3. Ollama Modelfile Build

If you have Ollama installed, build the dedicated standalone local model:

cd C:\Users\lwidi\.gemini\antigravity\scratch\veteransvso\model_training && ollama create veteransvso-ai -f Modelfile

4. Local Model Training Dataset

75+ high-precision Title 38 CFR, TERA & Protection training pairs:

                    📁 C:\Users\lwidi\.gemini\antigravity\scratch\veteransvso\model_training\veteransvso_fine_tune_dataset.jsonl
                