F

Foundation Sec 8B GGUF

Developed by Mungert
Foundation-Sec-8B is a language model specifically designed for network security applications. Based on the Llama-3.1 architecture, it has been pre-trained on a large amount of network security-related text data and can understand and process various concepts, terms, and practices in the field of network security.
Downloads 7,603
Release Time : 5/1/2025

Model Overview

This model is suitable for various network security tasks such as threat detection, vulnerability assessment, and security automation. It is designed for security practitioners, researchers, and developers to build AI-driven security workflows and applications.

Model Features

Ultra-low bit quantization and IQ-DynamicGate
Adopt an adaptive precision quantization method, optimize for ultra-low bit models (1 - 2 bits), and retain accuracy while maintaining high memory efficiency.
Hierarchical strategy
Adopt a hierarchical specific strategy. Use Q5_K for key components such as the embedding layer and output layer to reduce error propagation.
Dedicated to network security
Pre-trained on a large amount of network security-related text data, it can understand and process various concepts, terms, and practices in the field of network security.

Model Capabilities

Threat detection
Vulnerability assessment
Security automation
Text generation
Text understanding

Use Cases

Network security
Matching CWE and CVE IDs
Match known CVE vulnerabilities with their corresponding CWE (Common Weakness Enumeration).
The model can accurately match CVE and CWE. For example, CVE-2021-44228 corresponds to CWE-502.
Vulnerability description generation
Generate detailed vulnerability descriptions and impact analyses based on the CVE ID of the vulnerability.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase