First steps

New to Modelverse? This section is where to start. It gives enough orientation to hold the product in your head, an install you can verify in minutes, and a first model that goes from the catalog to a served endpoint. Read it in order:

1. Modelverse at a glance: what the model library is and is not, and the five-minute mental model.
2. Get Modelverse: pick your platform, get the download and verify commands.
3. Quick install: extract the archive and prove it works in two commands.
4. Tutorial series: four parts, each a complete step. Pick a model (the catalog, identity, what a download would cost), fetch and prompt (weights on disk, first generated text), serve and chat (an OpenAI-compatible endpoint with a built-in chat page), and use it from your code (the same model inside your own program).
5. Adding your own model: the author-side series, three parts on the smallest real model (an embedding model: text in, vector out). A model from scratch (a checkpoint is a directory you can write by hand), join the catalog (register a family of your own), and make it embed (the smallest real backend, the standard commands in two lines). Read it when you bring your own architecture; the first series does not depend on it.
6. What to read next: where to go once it runs.

How the Modelverse docs are layered

• This section orients: condensed, in reading order, concepts explained where they first appear.
• How-to guides: problem-oriented recipes, one per "how do I X", with additional examples as the end-to-end reading inside it.
• ClikaRT documents the runtime underneath, including the API reference the C++ surface builds on and the system requirements Modelverse inherits.