In this demo for Intel devices, I will walk through an overview of Model HQ — a private, local, no-code platform that brings together 250+ models for chat and agent workflows, with no Wi-Fi required once models are downloaded. You’ll see how easy it is to: Browse and download models from the Model HQ catalog (including Llama, Mistral, Gemma, Microsoft Phi, Qwen, and LLMWare SLIM / BLING / Dragon models) Run fast on-device chat and test model performance on Intel AI PCs Use RAG with source documents to extract key terms from contracts (salary, vacation days, etc.) Build drag-and-drop agents in minutes (story generation + headline writing) Create a vision agent workflow that reads an image and generates outputs like poems, style classifications, and marketing copy This is a quick end-to-end look at how ModelHQ enables secure, offline-ready AI workflows with small language models on device — and optional integrations for frontier models when needed. 📌 Learn more about Model HQ + LLMWare on our website: llmware.ai 🔔 Subscribe for more on-device AI demos, agents, and RAG workflows. #ModelHQ #LLMWare #Intel #IntelAI #LunarLake #MeteorLake #AIPC #OnDeviceAI #PrivateAI #SmallLanguageModels #AIAgents #AIWorkbench