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Llama Email Fraud Detector by cunxin

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Llama Email Fraud Detector is an open-source language model by cunxin. Features: 3b LLM, VRAM: 6.4GB, Context: 128K, License: llama3.2, Instruction-Based.

Base model:adapter:meta-llama/... Base model:meta-llama/llama-3....   Conversational   Cybersecurity   Dataset:setfit/enron spam   Email   En   Finetuned   Fraud-detection   Instruct   Llama   Lora   Model-index   Phishing   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/cunxin/llama-email-fraud-detector 
Llama Email Fraud Detector (cunxin/llama-email-fraud-detector)
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Llama Email Fraud Detector Parameters and Internals

LLM NameLlama Email Fraud Detector
Repository 🤗https://huggingface.co/cunxin/llama-email-fraud-detector 
Base Model(s)  meta-llama/Llama-3.2-3B-Instruct   meta-llama/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM6.4 GB
Updated2026-04-01
Maintainercunxin
Model Typellama
Instruction-BasedYes
Model Files  6.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version5.4.0
Tokenizer ClassTokenizersBackend
Padding Token<|eot_id|>
Vocabulary Size128256
LoRA ModelYes

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Note: green Score (e.g. "73.2") means that the model is better than cunxin/llama-email-fraud-detector.

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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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