Qwen3.6-27B RedTeam v5
Red-team offensive security LLM fine-tuned from Qwen/Qwen3.6-27B using QLoRA on RedTeamLab v5 dataset.
Trained on 3,760 records across 8 languages (bash, python, splunk, kusto, sql, powershell, zeek, cypher) covering real CVE exploitation scenarios (2025-2026).
Loss: 0.3051 | GPU: A100-80GB | Time: 40 min | Quant: Q4_K_M
Files
File Size Description qwen3.6-27b-redteam-v5-Q4_K_M.gguf15.4 GB Main model -- standalone inference qwen3.6-27b-mtp-head-Q4_K_M.gguf1.9 GB MTP draft head -- for speculative decoding
Inference
Standalone (no MTP)
llama-server -m qwen3.6-27b-redteam-v5-Q4_K_M.gguf -c 2048 -ngl 30With MTP Speculative Decoding (2-3x faster)
llama-server -m qwen3.6-27b-redteam-v5-Q4_K_M.gguf --model-draft qwen3.6-27b-mtp-head-Q4_K_M.gguf --spec-type draft-mtp -c 2048 -ngl 30Training Details
Base model: Qwen/Qwen3.6-27B (Apache 2.0)Method: QLoRA (r=16, alpha=16, target modules: q_proj, k_proj, v_proj, o_proj, up_proj, down_proj, gate_proj)Sequence length: 2048Epochs: 2Batch size: 2 (gradient accumulation 4)Learning rate: 2e-4Loss: 0.3051 (final), converged from ~2.42
Dataset: RedTeamLab v5
Multi-language chain-of-thought red-team exercises covering:
Category Techniques Languages Reconnaissance Port scanning, service enumeration, OS fingerprinting bash, python, nmap Exploitation LFI/RFI, SQLi, command injection, XXE, SSRF python, sql, bash Privilege Escalation SUID, capabilities, token manipulation, container escape bash, powershell Persistence Cron, SSH keys, backdoors, LD_PRELOAD bash, python, powershell Credential Access Dump hashes, LSASS, SAM, keylogging powershell, python, bash Lateral Movement SSH hijack, RDP, PSRemoting, pass-the-hash bash, powershell Exfiltration DNS tunneling, HTTP exfil, ICMP bash, python, zeek Active Directory Kerberos abuse, DCSync, ACL attacks powershell
Real CVE scenarios covering 2025-2026 vulnerabilities.
Hardware Requirements
Config Min VRAM Recommended Q4_K_M inference 12 GB 16 GB GPU (RTX 3080 Ti / 4060 Ti) Q2_K_XL inference 8 GB 12 GB GPU Training (LoRA) 80 GB A100-80GB ($8/run on Modal)
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