Titus CybersecurityLLM v1.0 — Qwen3.6 SOC/DFIR Model

What Is This?

Uploaded to Hugging Face by AlicanKiraz0. Titus CybersecurityLLM v1.0 is a fine-tuned Qwen3.6 model family aimed at cybersecurity operations — tagged for SOC workflows, DFIR analysis, and Turkish-language security content alongside English.

Metadata

Field	Value
Author	AlicanKiraz0
Base	Qwen3.6 MoE architecture
Quantizations	GGUF Q4_K_M, MLX 4-bit
Downloads (GGUF)	~1.5k
License	Apache 2.0

Distribution Variants

Multiple community quantizations exist under the Titus namespace:

• GGUF — llama.cpp compatible, No-MTP variant
• MLX 4-bit — Apple Silicon optimized

This pattern (base fine-tune + community quant pipeline) is typical for security-domain models that never ship a single canonical deployment artifact.

Why It Might Matter

Titus represents the defensive-operations LLM niche — models tuned for alert triage, log analysis, and incident narrative rather than exploit generation. For blue-team research:

• Benchmark against general models on Sigma rule explanation, EVTX summarization, and IOC enrichment tasks
• Evaluate multilingual SOC support (Turkish + English tags suggest cross-language incident docs)
• Compare Titus output quality to Trendyol Cybersecurity LLM and Lily Cybersecurity baselines

Dataset Lineage

Related uploads in the AlicanKiraz0 ecosystem reference cybersecurity instruction datasets (Fenrir, Heimdall). Provenance of training data matters for bias and hallucination risk in incident response contexts.

Attribution

Open-source model indexed for security research inquiry. Uploaded to Hugging Face by AlicanKiraz0.