If you're running local LLMs through Ollama, finding the right model is annoying. The official model page scrolls forever, capability tags are inconsistent, and there's no way to sort by context window or size without doing it in your head. So I built Ollama Models Explorer — a small Next.js + Tailwind app that pulls the full Ollama model catalog and gives you a real, fast table. Search by name, filter by capability (chat, vision, embedding), sort by name, size, or context length by clicking the column header. Dark-themed because that's where I live. Live demo: https://ollama-models-explorer.vercel.app/ Repo: https://github.com/p32929/ollama_models_explorer Stack Next.js (app router) + TypeScript Tailwind CSS + shadcn/ui for the table and inputs Lucide for icons Model data loaded from a local JSON file, so the deploy is fully static and instant One non-obvious thing The capability filter ANDs the pills together instead of ORing them.…