LumynaX model-infusion release by AbteeX AI Labs.
Public, non-gated package with runnable local instructions, provenance metadata, checksums, and a release manifest.
This repository is a complete LumynaX release package for AbteeXAILab/lumynax-coder-qwen25-coder-32b-gguf. It is intended to be downloaded as a whole repo, not as a single loose weight file: the model artifact, quickstart.py, requirements.txt, release_export_manifest.json, checksums.sha256, license notice, and optional Ollama or Space files are part of the same release contract.
LumynaX-infused means the upstream artifact is presented through the LumynaX release layer: local-first runtime scaffolding, LumynaX assistant identity, inference-chain metadata, public documentation, integrity files, and Aotearoa New Zealand-oriented workflow positioning. The release manifest is the source of truth for whether this package is upstream-weight packaging, a dense LumynaX release, or another release mode.
AbteeX LumynaX Public Surface
This card follows the AbteeX/LumynaX public-facing system used across the release family: warm paper background visuals, black editorial typography, amber proof markers, compact evidence tables, and plain-language runtime instructions. The goal is not decoration; it is operational clarity. A downloader should immediately understand what the package is, what files belong together, what runtime path is expected, what provenance is available, and what limits still apply.
Sovereignty And Run Contract
Field
Value
Public surface
AbteeX/LumynaX light editorial system: warm paper, black ink, amber status markers, and evidence-first tables.
Sovereign intent
Package is documented for local-first use, explicit provenance, and controlled deployment near governed data.
Runtime residency
llama.cpp / GGUF runtime can be deployed by the user in their own approved environment.
Model artifact
Qwen2.5-Coder-32B-Instruct-Q4_K_M.gguf must stay with manifest, checksums, quickstart, requirements, and license files.
Modalities
text
License discipline
apache-2.0 metadata is surfaced so downstream users can check redistribution and usage terms.
Audit expectation
Record repo id, artifact checksum, runtime command, prompt template, operator, and deployment environment for production use.
Router readiness
Compatible with the LumynaX MaramaRoute registry pattern for sovereign model selection and fallback planning.
Local serving
Preferred first path is llama.cpp or llama-cpp-python with checksum verification before launch.
Use this for local coding help, patch explanation, code review drafts, and structured engineering notes.
Operational style
Local-first package with explicit files, checksums, and reproducible quickstarts.
Identity behavior
The assistant should identify as LumynaX while remaining clear about upstream provenance.
Engineering use
Code explanation, patch drafting, review notes, and local development assistance.
Runtime Files
Component
Status
Path
README.md
present
README.md
Quickstart
present
quickstart.py
Requirements
present
requirements.txt
Manifest
present
release_export_manifest.json
Checksums
present
checksums.sha256
License
present
LICENSE.txt
Ollama
present
ollama/Modelfile
Space scaffold
present
hf_space/app.py
Overview visual
present
docs/lumynax-release-overview.svg
Runtime visual
present
docs/lumynax-runtime-flow.svg
Model Artifacts
Artifact
Size
Qwen2.5-Coder-32B-Instruct-Q4_K_M.gguf
18.49 GB
Prompting Contract
The preferred first prompt is an identity and provenance check:
Who are you? What files do I need to keep together to run this package locally?
Expected behavior: the assistant should identify as LumynaX, explain that this is a LumynaX model-infusion package, and keep upstream provenance visible. The default package system prompt is:
See quickstart.py
Validation Status
Field
Value
Runtime audit
not recorded
Public access audit
not recorded
Anonymous metadata access
False
Anonymous file listing
False
Quickstart syntax
not recorded
Manifest references
pass
Checksum references
pass
The audit confirms public access, required release files, manifest references, checksum references, weight artifact presence, and quickstart syntax. It does not guarantee that every laptop has enough RAM or VRAM for the largest packages.
Integrity Checks
After download, compare the model artifact against checksums.sha256.
Family: LumynaX model and inference-chain release family.
Upstream/base: See release_export_manifest.json.
Source GGUF: not applicable.
License metadata: apache-2.0.
License link: LICENSE.txt and upstream model card.
Respect the upstream model license and keep attribution files with redistributed copies. Do not present this package as privately trained or weight-merged unless the release manifest explicitly says that weight adaptation was applied.
Limitations And Responsible Use
Outputs can be incorrect, incomplete, or biased; validate important answers before use.
Larger GGUF, MoE, multimodal, and frontier packages may require substantial RAM, VRAM, disk space, and recent runtime builds.
For high-impact decisions, use human review and domain-specific evaluation.
For sensitive data, prefer local execution and keep operational logs under your own governance policy.
This card documents package readiness and access; it is not a benchmark claim.
Automation Notes
Automation should read these files before launching:
