---
license: llama3.2
language:
- en
tags:
- cybersecurity
- security
- log-analysis
- threat-detection
- windows
- gguf
- llama
base_model: meta-llama/Llama-3.2-3B-Instruct
---

# 🛡️ 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** — Categorizes events as normal, suspicious, or malicious
- **Severity Assessment** — Rates threats from Low to Critical
- **Intelligent Explanations** — Provides context for why an event matters
- **Action Recommendations** — Suggests specific remediation steps
- **Conversational** — Responds naturally to general questions about itself and cybersecurity

## Quick Start with Ollama

```bash
# 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 → My Models → 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