---

license: apache-2.0

base_model: hotdogs/Qwen3.8-27B-abliterated-cyber-preview

pipeline_tag: text-generation

library_name: gguf

tags:

• gguf
• qwen3_5
• abliterated
• cybersecurity
• offensive-security
• agentic
• tool-calling
• mcp
• image-text-to-text
• llama.cpp
• speculative-decoding

datasets:

• hotdogs/cyber-sft-agent-qwen38

language:

• en
• zh

---

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)

./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

./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) |

---

Related

• 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.