IMMUNIS-Sentinel
The detection brain of IMMUNIS ACIN — Adversarial Coevolutionary Immune Network.
Fine-tuned Qwen2.5-7B for multilingual cyber threat semantic fingerprinting across 40+ languages.
Training
| Property | Value |
|---|
| Base Model | Qwen/Qwen2.5-7B-Instruct |
| Method | bf16 LoRA (rank 64, alpha 128, 2.08% params) |
| Data | 45,000 examples (15 languages, 11 attack families) |
| Hardware | AMD Instinct MI300X (192GB HBM3) + ROCm 7.0 |
| Training Time | ~3 hours |
Evaluation: Fine-tuned vs Base Model
| Metric | Fine-tuned | Base Qwen2.5-7B | Delta |
|---|
| Valid JSON | 100% | 0% | +100% |
| Correct Attack Family | 100% | 0% | +100% |
| Correct Severity | 66% | 0% | +66% |
| Correct Language | 58% | 0% | +58% |
| Has MITRE ATT&CK | 100% | 0% | +100% |
The base model cannot produce structured threat intelligence in our schema. Fine-tuning transforms it into a domain-specific analyst.
Part of IMMUNIS ACIN
Agent 1 (Incident Analyst) in a 12-agent adversarial coevolutionary immune network. AMD Developer Hackathon — Track 1 (AI Agents) + Track 2 (Fine-Tuning on AMD GPUs).
