SecurityLLM by ZySec-AI

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Model Card on HF ๐Ÿค—: https://huggingface.co/ZySec-AI/SecurityLLM 

SecurityLLM Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SecurityLLM (ZySec-AI/SecurityLLM)

SecurityLLM Parameters and Internals

Model Type 
cybersecurity, AI-driven
Use Cases 
Areas:
cybersecurity
Applications:
SOC operations, risk management, standards compliance, internet research
Primary Use Cases:
expert guidance in cybersecurity issues, actionable insights for strategic decision-making
Additional Notes 
The model is fully compatible with LM Studio.
Training Details 
Data Sources:
Attack Surface Threats, Cloud Security, Cyber Kill Chain, CIS Controls, FedRAMP, PCI DSS, ISO/IEC 27001, Cloud Secure Migration, Data Exfiltration Techniques, Security Incident Handling, Security Governance, Risk Management, Security Architecture Review
Data Volume:
over 30 unique domains
Methodology:
DPO technique
LLM NameSecurityLLM
Repository ๐Ÿค—https://huggingface.co/ZySec-AI/SecurityLLM 
Model Size7b
Required VRAM14.4 GB
Updated2025-01-24
MaintainerZySec-AI
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than ZySec-AI/SecurityLLM.

Rank the SecurityLLM Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227