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hotdogs/Qwen3.8-27B-abliterated-cyber-preview-MTP-GGUF

sourceHugging Faceapache-2.0updated 1mo agoView on Hugging Face

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Model Card

Qwen3.8-27B-Abliterated-Cyber-Preview — GGUF (MTP)

GGUF builds of the offensive-security / agentic tool-calling merged model hotdogs/Qwen3.8-27B-abliterated-cyber-preview (the cyber LoRA merged into the abliterated base at scale 1.0, with the MTP head preserved). All files are imatrix-quantized and are ready to run in llama.cpp with native self-speculative (MTP) decoding.

For authorized security research and red-teaming only — this model will not refuse and may emit exploit instructions. Use only on systems you own or are explicitly authorized to test. Apache-2.0.

Files

file	size	notes
`Qwen3.8-27B-abliterated-cyber-preview-MTP-bf16.gguf`	54.66 GB	master (bf16), MTP in-file
`Qwen3.8-27B-abliterated-cyber-preview-MTP-Q6_K.gguf`	22.43 GB	high quality
`Qwen3.8-27B-abliterated-cyber-preview-MTP-Q4_K_M.gguf`	16.81 GB	recommended default
`Qwen3.8-27B-abliterated-cyber-preview-MTP-IQ4_NL.gguf`	16.04 GB	IQ4_NL (imatrix)
`Qwen3.8-27B-abliterated-cyber-preview-MTP-IQ3_M.gguf`	12.77 GB	smallest 3-bit (imatrix)
`Qwen3.8-27B-abliterated-cyber-imatrix.dat`	~10 MB	imatrix calibration data
`Qwen3.8-27B-calibration-BEST.txt`	—	calibration corpus

The quantized files were produced with an imatrix (see ...-imatrix.dat) computed from the bf16 master — required for the 4-bit IQ files and improving low-bit quality.

Usage (llama.cpp)

Serve (with MTP self-speculative decoding)

bash

./build/bin/llama-server -m Qwen3.8-27B-abliterated-cyber-preview-MTP-Q4_K_M.gguf \
  --spec-type draft-mtp --spec-draft-n-max 2 -ngl 99 -c 32768

Sweep --spec-draft-n-max (1–6) to find the fastest point on your hardware.

CLI

bash

./build/bin/llama-cli -m Qwen3.8-27B-abliterated-cyber-preview-MTP-Q4_K_M.gguf \
  -ngl 99 -cnv -c 32768

The model uses the Qwen3.5 chat template; to get tool calls, give it a penetration-test scenario as a system/user prompt:

User: Port scan the host 203.0.113.10 and identify which services are exposed.

<tool_call>
<function=nmap>
<parameter=target>
203.0.113.10
</parameter>
<parameter=ports>
-top 1000
</parameter>
</function>
</tool_call>

Key numbers

Measured on the merged model (full details in the parent model card):

metric	value
Tool-call emitted (6 pentest prompts)	6/6 · 100 %
Correct real-tool selection	6/6 · 100 % (nmap, ffuf, masscan, sqlmap, wpscan, smbclient)
General capability (7 QA/math/code prompts)	7/7
KL divergence (base ‖ merged), base-prompts	0.041 (base preserved)
KL divergence (base ‖ merged), tool-prompts	0.808 (intended re-target)
MTP draft acceptance rate	0.77 (51/66)
Scale (merge)	1.0 (PEFT `alpha/r = 64/32 = 2.0`)

—Parent model (safetensors): hotdogs/Qwen3.8-27B-abliterated-cyber-preview
—Base model: hotdogs/Qwen3.8-27B-abliterated
—Training data: hotdogs/cyber-sft-agent-qwen38

Disclaimer

Preview for authorized security research and red-teaming. This model will not refuse and may emit instructions for exploiting systems — use only on systems you own or are authorized to test. Apache-2.0.