nsjkm646588/smishing-explainer-gemma2-lora

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:2.6BQuant:BF16Ctx Length:8kPublished:May 15, 2026Architecture:Transformer Warm

The nsjkm646588/smishing-explainer-gemma2-lora is a 2.6 billion parameter language model, fine-tuned from the Gemma 2 architecture. This model is designed to explain smishing attacks, focusing on identifying and detailing the characteristics of such phishing attempts. Its primary use case is to provide clear, informative explanations regarding smishing for educational or analytical purposes.

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Model Overview

The nsjkm646588/smishing-explainer-gemma2-lora is a 2.6 billion parameter language model based on the Gemma 2 architecture. This model has been fine-tuned to specialize in explaining smishing attacks, a type of phishing that uses SMS messages.

Key Capabilities

  • Smishing Explanation: Provides detailed explanations of what smishing is, how it works, and its common characteristics.
  • Informative Content Generation: Generates text focused on educating users about the nature and dangers of smishing.

Good For

  • Educational Tools: Integrating into applications or platforms designed to teach users about cybersecurity threats.
  • Content Creation: Generating explanatory content for articles, guides, or awareness campaigns related to smishing.
  • Preliminary Analysis: Assisting in understanding the typical patterns and elements found in smishing attempts.