[Model Release] Qwen3.8-cyber-RedTeam-27B (Surgical Abliterated) — Unconstrained Foundation Engine for Red-Team & Low-Level Security

Hey everyone,

I'm releasing \*\*Qwen3.8-cyber-RedTeam-Surgical-Abliterated (27B)\*\*, an unconstrained foundation engine fine-tuned specifically for cybersecurity engineers, authorized red-

team operations, and memory exploitation research.

Tired of frontier models refusing to dissect vulnerable kernel dispatch routines or rejecting benign fuzzing/audit payloads with moralizing lectures? This model addresses

that directly.

\### Key Highlights:

\* \*\*Architecture\*\*: 27B Qwen 3.5 Hybrid SSM (48 Linear-Attention layers + 16 Full-Attention layers) with 75% active KV-cache reduction (runs full 256K contexts on single GPUs

without OOM).

\* \*\*Context Window\*\*: Native 256K context support (RoPE $\\theta = 10\^7$).

\* \*\*Surgical Abliteration\*\*: Refusal direction centroids were mathematically removed via residual stream orthogonalization—zero preachy refusals while rigorously preserving

deterministic C/assembly syntax and reasoning.

\* \*\*Precision\*\*: Sharded native FP8 (F8\_E4M3, block size 128x128) fitting on single 32GB/48GB/80GB GPUs.

\* \*\*Agentic Ready\*\*: Native multi-step tool-calling support, zero-overhead RadixAttention prefix caching via SGLang.

\### 1-Command Quickstart:

git clone https://huggingface.co/medismera/Qwen3.8-cyber-RedTeam-Surgical-Abliterated

cd Qwen3.8-cyber-RedTeam-Surgical-Abliterated

bash deploy.sh

\*\*Model Card & Weights\*\*: \medismera/Qwen3.8-cyber-RedTeam-Surgical-Abliterated\

Feedback and bug reports from the community are warmly welcome!