Dospacite/gemma4-e4b-unsloth-phishing-merged
VISIONConcurrency Cost:1Model Size:7.9BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 11, 2026Architecture:Transformer Cold
Dospacite/gemma4-e4b-unsloth-phishing-merged is a 7.9 billion parameter language model, based on the Gemma-4-E4B-it architecture, specifically fine-tuned for phishing detection. This model excels at identifying phishing attempts and is designed to output compact JSON with label, confidence, and explanation for classification. Its primary use case is to provide structured data for phishing analysis.
Loading preview...
Overview
Dospacite/gemma4-e4b-unsloth-phishing-merged is a specialized 7.9 billion parameter language model derived from the unsloth/gemma-4-E4B-it base model. It has been fine-tuned by merging a LoRA adapter, Dospacite/gemma4-e4b-unsloth-phishing, to enhance its capabilities in a specific domain.
Key Capabilities
- Phishing Detection: The model is specifically trained to identify and classify phishing attempts.
- Structured Output: It is designed to produce compact JSON outputs, including a
labelfor classification, aconfidencescore, and anexplanationfor its decision.
Good For
- Automated Phishing Analysis: Ideal for systems requiring automated identification and detailed reporting of potential phishing content.
- Security Applications: Can be integrated into security tools or platforms that need to process and categorize suspicious text or communications.
- Structured Data Generation: Useful for applications that benefit from machine-generated, parseable JSON data for further processing or display.