In this Model HQ demo, I test different NPU-optimized model sizes to answer a key question every on-device AI user asks: Which model size is “enough” for real RAG work? Using an Intel Lunar Lake AI PC, we run the same RAG query against a complex Long-Term Supply Agreement and compare results across multiple NPU models—including 3B, 7B, and 14B parameter models. You’ll see how: ✅ Smaller NPU models can handle basic chat tasks ✅ RAG answers improve as model size increases ✅ 7B+ models become much more reliable for complex legal queries ✅ 14B delivers the most complete, polished answer (with strong NPU utilization) ✅ Model HQ shows the exact source snippets + page references behind each answer Everything runs locally and privately on-device—no cloud required. Please subscribe and visit llmware.ai for more details. #ModelHQ #LLMWare #Intel #IntelAI #LunarLake #MeteorLake #AIPC #OnDeviceAI #PrivateAI #SmallLanguageModels #AIAgents #AIWorkbench