This model was generated using llama.cpp at commit e4868d16. Help me test my AI-Powered Quantum Network Monitor Assistant with quantum-ready security checks: The full Open Source Code for the Quantum Network Monitor Service available at my github repos ( repos with NetworkMonitor in the name) : Source Code Quantum Network Monitor. You will also find the code I use to quantize the models if you want to do it yourself GGUFModelBuilder 💬 How to test: Choose an AI assistant type: — TurboLLM (GPT-4.1-mini) — HugLLM (Hugginface Open-source models) — TestLLM (Experimental CPU-only) I’m pushing the limits of small open-source models for AI network monitoring, specifically: — Function calling against live network services — How small can a model go while still handling: — Automated Nmap security scans — Quantum No token limited as the cost is low. — 🔧 Help wanted! If you’re into edge-device AI, let’s collaborate! 🟢 TurboLLM – Uses gpt-4.1-mini : — It performs very well…
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