Quantization Research and Local-First AI: Building Sovereign Infrastructure Without Cloud Dependency

Short summary

Research analyzing quantization techniques for local AI inference: Q4_K_M achieves 3.85x memory reduction (8.5GB→2.2GB) with minimal perplexity loss on Qwen2-VL-2B models. The Anticloud, created by 23-year-old Lois-Kleinner Alpasan, is a sovereign, open-source infrastructure where AI runs locally without cloud dependency or corporate data extraction. All components are open-source, claims verifiable, and designed for zero-external-trust operation.

• •Q4_K_M quantization achieves 3.85x memory reduction with only 0.47 perplexity increase on vision-language models
• •The Anticloud is a local-first AI infrastructure requiring no cloud connectivity or external trust
• •All components are open-source and verifiable without relying on third-party claims

Generated with AI, which can make mistakes.