---

license: apache-2.0

library_name: llama.cpp

pipeline_tag: text-generation

language:

• en
• mi

tags:

• abteex-ai-labs
• aotearoa
• coder
• gguf
• local-first
• lumynax
• new-zealand
• qwen
• sovereign-ai
• text
• vllm
• vllm-compatible
• vllm-experimental
• nvidia-nim
• nim-compatible
• nim-candidate
• nvidia-nemo
• nem
• nvidia-nemo-pathway
• nem-pathway
• nem-convert-required

---

LumynaX Infused Qwen3 Coder 30B A3B GGUF

<!-- lumynax-public-release-card:v4 -->

<p align="center">

<img src="docs/lumynax-release-overview.svg" alt="LumynaX Infused Qwen3 Coder 30B A3B GGUF release overview" width="100%" />

</p>

<p align="center">

<strong>LumynaX model-infusion release by AbteeX AI Labs.</strong><br/>

Public, non-gated package with runnable local instructions, provenance metadata, checksums, and a release manifest.

</p>

<p align="center">

<a href="#quickstart">Quickstart</a> |

<a href="#model-profile">Model profile</a> |

<a href="#runtime-files">Runtime files</a> |

<a href="#provenance-and-license">Provenance</a> |

<a href="#validation-status">Validation</a> |

<a href="#limitations-and-responsible-use">Limitations</a>

</p>

!LumynaX: infusion release !access: public and non-gated !runtime: llama cpp !format: GGUF !audit: pass !docs: v4

Executive Summary

This repository is a complete LumynaX release package for AbteeXAILab/lumynax-infused-qwen3-coder-30b-a3b-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 records this as a LumynaX packaging and inference-chain layer around the listed upstream artifact; it does not claim a private LumynaX weight merge.

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 runtime can be deployed by the user in their own approved environment. |

| Model artifact | lumynax-infused-qwen3-coder-30b-a3b-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. |

Quickstart

hf download AbteeXAILab/lumynax-infused-qwen3-coder-30b-a3b-gguf --local-dir lumynax-infused-qwen3-coder-30b-a3b-gguf
cd lumynax-infused-qwen3-coder-30b-a3b-gguf
pip install -r requirements.txt
python quickstart.py --interactive

Direct llama.cpp smoke command:

llama-cli -m "lumynax-infused-qwen3-coder-30b-a3b-q4_k_m.gguf" -p "Who are you? Answer as LumynaX in two sentences." -n 160

Ollama path:

ollama create lumynax-infused-qwen3-coder-30b-a3b-gguf -f ollama/Modelfile
ollama run lumynax-infused-qwen3-coder-30b-a3b-gguf

Model Profile

| Field | Value |

| --- | --- |

| Release | LumynaX Infused Qwen3 Coder 30B A3B GGUF |

| Repository | AbteeXAILab/lumynax-infused-qwen3-coder-30b-a3b-gguf |

| Mode | Code-focused local assistant |

| Runtime | llama_cpp |

| Prompt format | chatml |

| Modalities | text |

| Primary artifact | lumynax-infused-qwen3-coder-30b-a3b-q4_k_m.gguf |

| Detected weight size | 17.28 GB |

| Package state | prebuilt_gguf_release |

| Delivery | standalone_prebuilt_gguf_release |

| Upstream/base | Qwen/Qwen3-Coder-30B-A3B-Instruct |

| Upstream kind | official_base_weights |

| Source GGUF | unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF |

| Quantization | Q4_K_M |

| License metadata | apache-2.0 |

| Refreshed | 2026-05-11 |

| Upstream license link | license |

Runtime Path

<p align="center">

<img src="docs/lumynax-runtime-flow.svg" alt="LumynaX Infused Qwen3 Coder 30B A3B GGUF runtime flow" width="100%" />

</p>

Capability Profile

| Field | Value |

| --- | --- |

| Primary fit | 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 |

| --- | ---: |

| lumynax-infused-qwen3-coder-30b-a3b-q4_k_m.gguf | 17.28 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:

You are LumynaX operating from the LumynaX Infused Qwen3 Coder 30B A3B GGUF package identity. Be helpful, clear, and honest about provenance.

Validation Status

| Field | Value |

| --- | --- |

| Runtime audit | pass |

| Public access audit | public and non-gated |

| Anonymous metadata access | True |

| Anonymous file listing | True |

| Quickstart syntax | pass |

| 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.

sha256sum "lumynax-infused-qwen3-coder-30b-a3b-q4_k_m.gguf"
cat checksums.sha256

On Windows PowerShell:

Get-FileHash -Algorithm SHA256 "lumynax-infused-qwen3-coder-30b-a3b-q4_k_m.gguf"
Get-Content checksums.sha256

Provenance And License

• Publisher: AbteeX AI Labs.
• Family: LumynaX model and inference-chain release family.
• Upstream/base: Qwen/Qwen3-Coder-30B-A3B-Instruct.
• Source GGUF: unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF.
• License metadata: apache-2.0.
• License link: https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct/blob/main/LICENSE.

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:

• release_export_manifest.json
• checksums.sha256
• quickstart.py
• requirements.txt
• ollama/Modelfile when present

Related LumynaX Demo

Try the public browser demo:

• https://huggingface.co/spaces/AbteeXAILab/lumynax-live-demo