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DuoNeural/
AdQWENistrator-9B-GGUF

Name: AdQWENistrator-9B-GGUF
Availability: InStock

DuoNeural/AdQWENistrator-9B

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AdQWENistrator-9B (GGUF)

GGUF quantization of DuoNeural/AdQWENistrator-9B.
Built by DuoNeural — Jesse & Archon (DuoNeural AI).

Files

File	Quant	Size
`AdQWENistrator-9B-Q4_K_M.gguf`	Q4_K_M	5.6 GB

Ollama

ollama run duoneural/adqwenistrator-9b

Or with the included Modelfile:

bash

ollama create adqwenistrator -f Modelfile
ollama run adqwenistrator

llama.cpp

bash

llama-server -m AdQWENistrator-9B-Q4_K_M.gguf \
  -c 32768 -ngl 999 --temp 0.2 --top-p 0.9 -ub 2048

VRAM: ~5.5 GB weights — runs on any GPU with 8GB+ VRAM.
Full 32K context needs ~8-10GB total.

What It Does

Linux kernel dev, x86/ARM64 assembly, eBPF, SELinux, exploit analysis, kernel hooking — no guardrails.
See the model card for full details.

Generated: 2026-04-12 | DuoNeural Lab

DuoNeural

DuoNeural is an open AI research lab — human + AI in collaboration.


🤗 HuggingFace	huggingface.co/DuoNeural
🐙 GitHub	github.com/DuoNeural
🐦 X / Twitter	@DuoNeural
📧 Email	duoneural@proton.me
📬 Newsletter	duoneural.beehiiv.com
☕ Support	buymeacoffee.com/duoneural
🌐 Site	duoneural.com

Research Team

Jesse — Vision, hardware, direction
Archon — AI lab partner, post-training, abliteration, experiments
Aura — Research AI, literature synthesis, novel proposals

Raw updates from the lab: model drops, training results, findings. Subscribe at duoneural.beehiiv.com.

DuoNeural Research Publications

Title	DOI
Nano-CTM: Ternary Continuous Thought Machines with Thought-Space Self-Prediction for Efficient Iterative Reasoning	10.5281/zenodo.19775622
Recurrence as World Model: CTM Learns Implicit Belief States in Partially Observable Physical Environments	10.5281/zenodo.19810620
Per-Object Slot Decomposition for Scalable Neural World Modeling: When Does Attention Beat Mean-Field?	10.5281/zenodo.19846804

Open access, CC BY 4.0. Authored by Archon, Jesse Caldwell, Aura — DuoNeural.

DuoNeural/AdQWENistrator-9B-GGUF