π‘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
- Download
winsentinel-llama3.2-3b-f16.gguf - Open LM Studio β My Models β Import
- 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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Hardware compatibility
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Model tree for Mittai17/winsentinal
Base model
meta-llama/Llama-3.2-3B-Instruct