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Rajveerx11/
email-classifier

microsoft/Phi-3-mini-4k-instruct

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📧 Email Classifier (Phi-3 Mini Fine-Tuned GGUF)

🧠 Model Overview

This model is a fine-tuned version of Phi-3 Mini (4K Instruct) optimized for email classification tasks such as spam detection and categorization.

Base Model: Phi-3 Mini 4K Instruct
Fine-tuning: Supervised fine-tuning on email dataset
Format: GGUF (for efficient local inference)
Quantization: Q5_K_M

📚 Dataset

The model was trained on:

Dataset: json22322/email-classifier
Contains labeled email samples for classification tasks (e.g., spam vs non-spam)

🎯 Task

Email classification
Spam detection
Priority categorization

⚙️ Usage

Using llama.cpp

./main -m Phi-3-mini-4k-instruct-Q5_K_M.gguf -p "Classify this email: Subject: ... Body: ..."

🧪 Example

Input:

Subject: Win a free iPhone now!!!
Body: Click here to claim your reward.

Output:

Spam

⚠️ Limitations

Performance depends on dataset quality
May not generalize to unseen domains
Sensitive to prompt phrasing

📦 Files

File	Description
*.gguf	Quantized fine-tuned model

📌 Notes

Optimized for local inference (CPU-friendly)
Compatible with llama.cpp and GGUF runtimes

📜 License

Same as base model (Phi-3).

🙌 Acknowledgements

Microsoft for Phi-3
Hugging Face
llama.cpp

Rajveerx11/email-classifier