πŸ›‘οΈ WinSentinel AI - Security Log Analysis Model

A fine-tuned Llama 3.2 3B model specialized in Windows security event log analysis and threat detection.

Features

  • Threat Classification β€” Categorizes events as normal, suspicious, or malicious
  • Severity Assessment β€” Rates threats from Low to Critical
  • Intelligent Explanations β€” Provides context for why an event matters
  • Action Recommendations β€” Suggests specific remediation steps
  • Conversational β€” Responds naturally to general questions about itself and cybersecurity

Quick Start with Ollama

# Download both files: winsentinel-llama3.2-3b-f16.gguf and Modelfile
ollama create winsentinel -f Modelfile
ollama run winsentinel

Quick Start with LM Studio

  1. Download winsentinel-llama3.2-3b-f16.gguf
  2. Open LM Studio β†’ My Models β†’ Import
  3. Select the GGUF file

Example

Input:

Timestamp: 2026-02-15 03:22:41
Source IP: 45.33.12.88
User: admin
Event Type: login_failed
Message: Multiple failed login attempts from external IP

Output:

Threat Category: suspicious
Severity: Medium
Explanation: This event is significant because it matches known behavior patterns for credential access.
Recommended Action: Monitor the system and review logs for anomalies. Consider implementing MFA.

Training Details

  • Base Model: unsloth/Llama-3.2-3B-Instruct
  • Method: QLoRA (4-bit quantization + LoRA adapters)
  • Dataset: 28,000+ security event logs + conversational data
  • Hardware: NVIDIA RTX 3050 6GB
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GGUF
Model size
3B params
Architecture
llama
Hardware compatibility
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16-bit

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