Aimaghsoodi/lumynax-release

Archive of legacy LumynaX model packs, manifests, and reproducibility assets. Outdated research artifacts; not for production.

Python

0

153 commits

updated Oct 19, 2026

See the code

README

LumynaX Release Archive

Legacy model collection · Outdated research artifacts

This repository preserves the public packaging source, manifests, runtime scaffolds, and reproducibility assets for early LumynaX model experiments. The model packs under models/ are no longer maintained, are not recommended for production, and do not represent the current capabilities, architecture, or safety standards of AbteeX AI Labs.

How infusion works

LumynaX Core is the core intelligence model. It governs the inference path and integrates selected open-source models as specialised execution layers.

Prompt  →  LumynaX Core  →  Infused model / MoE experts  →  LumynaX Core  →  Response

LumynaX infusion is the controlled composition of LumynaX Core with a compatible open-source model:

  • Routed infusion directs inference through the selected model without modifying its weights.
  • MoE infusion can compose compatible model weights as specialised experts when required by the architecture.

LumynaX Core remains the primary intelligence and orchestration layer in either configuration, applying sovereignty controls, context, agentic planning, and inference optimisation around execution. Infusion does not automatically imply a weight merge; each release manifest records the method used by its pack.

Archive scope

Model packs98 historical releases
Infused packs96 routed model integrations
Native models2 early LumynaX-native releases
StatusOutdated and retained for research provenance only

The repository also contains experimental routing and sovereign-computing utilities. Their presence does not imply production readiness; review each package's own status and licence before use.

Provenance

Treat each pack's release_export_manifest.json, checksums.sha256, and LICENSE.txt as authoritative. Source-model weights remain subject to their original licences.


AbteeX AI Labs · Aotearoa New Zealand

Aimaghsoodi/lumynax-release

Archive of legacy LumynaX model packs, manifests, and reproducibility assets. Outdated research artifacts; not for production.

Python

0

153 commits

updated Oct 19, 2026

See the code

README

LumynaX Release Archive

Legacy model collection · Outdated research artifacts

This repository preserves the public packaging source, manifests, runtime scaffolds, and reproducibility assets for early LumynaX model experiments. The model packs under models/ are no longer maintained, are not recommended for production, and do not represent the current capabilities, architecture, or safety standards of AbteeX AI Labs.

How infusion works

LumynaX Core is the core intelligence model. It governs the inference path and integrates selected open-source models as specialised execution layers.

Prompt  →  LumynaX Core  →  Infused model / MoE experts  →  LumynaX Core  →  Response

LumynaX infusion is the controlled composition of LumynaX Core with a compatible open-source model:

  • Routed infusion directs inference through the selected model without modifying its weights.
  • MoE infusion can compose compatible model weights as specialised experts when required by the architecture.

LumynaX Core remains the primary intelligence and orchestration layer in either configuration, applying sovereignty controls, context, agentic planning, and inference optimisation around execution. Infusion does not automatically imply a weight merge; each release manifest records the method used by its pack.

Archive scope

Model packs98 historical releases
Infused packs96 routed model integrations
Native models2 early LumynaX-native releases
StatusOutdated and retained for research provenance only

The repository also contains experimental routing and sovereign-computing utilities. Their presence does not imply production readiness; review each package's own status and licence before use.

Provenance

Treat each pack's release_export_manifest.json, checksums.sha256, and LICENSE.txt as authoritative. Source-model weights remain subject to their original licences.


AbteeX AI Labs · Aotearoa New Zealand