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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.

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

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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

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Your models

Your model library includes:
  • active training runs
  • ready-to-use trained models
  • 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.

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Common actions

  • Open details to review identifiers, integration values, and training metadata
  • Resume from draft to continue a saved training configuration
  • Cancel an in-progress run
  • Delete a failed run or unused draft
  • Use in optimization to jump into runtime steering, testing, and sampling controls

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What this page does not include

This page is for inventory and model lifecycle management. Runtime steering, vector controls, testing, and API snippets now live under Optimization. For the training flow itself, see Fine-Tuning. For integration examples after a model is ready, see Using Your Model.