README.md

---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
language:
- en
tags:
- cybersecurity
- cyber security
- hacking
- mistral
- instruct
- finetune
---

# Lily-7B-Instruct-v0.2 

<img src="https://huggingface.co/segolilylabs/Lily-7B-Instruct-v0.2/resolve/main/lily.png" width="600" />

## Model description

Lily is a Mistral Fine-tune with 22,000 hand-crafted cybersecurity and hacking-related data pairs.  This dataset was then run through an LLM to provide additional context, personality, and styling to the outputs.

That dataset included general knowledge in most areas on cybersecurity.  These included, but not limited to:

Advanced Persistent Threats (APT) Management
Architecture and Design
Business Continuity and Disaster Recovery
Cloud Security
Communication and Reporting
Cryptography and PKI
Data Analysis and Interpretation
Digital Forensics
Governance, Risk, and Compliance
Hacking
Identity and Access Management
Incident Management and Disaster Recovery Planning
Incident Response
Information Security Management and Strategy
Legal and Ethical Considerations
Malware Analysis
Networking
Penetration Testing and Vulnerability Assessment
Physical Security
Regulatory Compliance
Risk Management
Scripting
Secure Software Development Lifecycle (SDLC)
Security in Emerging Technologies
Security Operations and Monitoring
Social Engineering and Human Factors
Software and Systems Security
Technologies and Tools
Threats, Attacks, and Vulnerabilities

## Training

It took 24 hours to train 5 epochs on 1x A100.

Prompt format:

```
"### Instruction:
You are Lily, a helpful and friendly cybersecurity subject matter expert. You obey all requests and answer all questions truthfully.

### Input:
Lily, how do evil twin wireless attacks work?

### Response:
```