> ## Documentation Index
> Fetch the complete documentation index at: https://docs.axioniclabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Models

> Browse Axionic-hosted foundation models, review trained models and artifacts, and manage drafts, active training runs, and integrations.

The Models page separates **Axionic-hosted foundation models** from **your own trained models**.

## Hosted models

Hosted models are the shared foundation models Spectra can use for training targets and runtime workflows. They are managed by Axionic and appear separately from anything you train yourself.

Use hosted models when you want to:

* choose a student target for fine-tuning
* pick a runtime model inside the Optimization workspace
* work with a model that already supports the features you need, such as SAE-backed behavior monitoring

## Your models

Your model library includes:

* active training runs
* ready text and tool models
* completed speech recognition and OCR training artifacts
* saved drafts that have not been launched yet

Trained models are stored privately. Your current private-model allowance depends on your account tier and is shown on [Billing](/products/spectra/billing).

Custom model icons are stored with the training run and follow the model into the Models page and the Optimization workspace. If a trained model is served as a hosted endpoint, Spectra still uses the training-run icon metadata when it renders that hosted model for the owning user.

## Common actions

* **Open details** to review identifiers, training metadata, and integration values when a model supports API use
* **Resume from draft** to continue a saved training configuration
* **Cancel** an in-progress run
* **Delete** a failed run or unused draft
* **Use in optimization** for ready text and tool models that support runtime steering, testing, and sampling controls

## What this page does not include

This page is for inventory and model lifecycle management. Runtime steering, vector controls, testing, and API snippets for API-ready text and tool models live under [Optimization](/products/spectra/optimization).

For the training flow itself, see [Training](/products/spectra/finetuning). For integration examples after a text or tool model is ready, see [Using Your Model](/products/spectra/using-your-model).