jcordon5/Mistral-7B-cybersecurity-rules
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:May 18, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Warm
jcordon5/Mistral-7B-cybersecurity-rules is a 7 billion parameter Mistral-7B-Instruct-v0.2 based model, fine-tuned via Knowledge Distillation from 0dAI-7.5B. It specializes in generating cybersecurity threat and intrusion detection rules, including YARA, Suricata, and SIGMA formats. This model is optimized for automating the creation of security rules from a curated corpus of 950 cybersecurity rules.
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Overview
This model, jcordon5/Mistral-7B-cybersecurity-rules, is a 7 billion parameter language model derived from Mistral-7B-Instruct-v0.2 and further fine-tuned using Knowledge Distillation from 0dAI-7.5B-v2. It features a 32K context window, making it suitable for processing detailed security logs and specifications.
Key Capabilities
- Specialized Rule Generation: Expertly generates cybersecurity rules in YARA, Suricata, and SIGMA formats.
- Threat Detection Automation: Designed to automate the creation of rules for detecting various cyber threats and intrusions.
- Fine-tuned on Cybersecurity Corpus: Trained on a curated dataset of 950 cybersecurity rules from SIGMA, YARA, and Suricata repositories.
Good For
- Automating Security Operations: Ideal for security analysts and engineers looking to quickly generate detection rules for new threats.
- Crafting Specific Rules: Can be instructed to create rules for detecting malicious commands (e.g.,
msfvenom,netcat), SSH brute-force attacks, or identifying obfuscated strings. - Local Deployment: Supports quantization using
llama.cpporollamafor efficient local deployment on devices with limited computational resources.