About Ollama Explorer

Open-source AI has never been more accessible — but that accessibility comes with a new problem: too many choices, too little structure.

Ollama provides the infrastructure to run open-source large language models locally with a single command. Its library lists 200+ models — but with minimal filtering, discovering which open-source model fits your hardware, use case, or language takes time you shouldn’t have to spend.

Ollama Explorer solves this. Every model is enriched with structured metadata: capability tags, domain classification, RAM requirements, context window sizes, parameter size buckets, and language support. You can filter across all of these dimensions at once, search with fuzzy matching (tolerates typos), and get to the right model in seconds — not minutes.

Whether you’re a developer picking a coding assistant, a researcher comparing reasoning models, or someone running AI on a laptop with 8 GB of RAM — Ollama Explorer gets you to the right starting point faster.

Data

Model data was scraped from ollama.com/library and processed into structured JSON, enriching each entry with domain classification, use-case tagging, RAM requirements and complexity ratings.

Tech stack