PII-GUARD-Qwen2.5-1.5B – AI Model by kalyan1900 | AlphaNeural AI

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kalyan1900/
PII-GUARD-Qwen2.5-1.5B

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tags:

text-generation
causal-lm
qwen2.5
pii
pii-detection
pii-extraction
privacy
fine-tuning
lora
unsloth
trl
gguf
llama.cpp
ollama license: apache-2.0 base_model: Qwen/Qwen2.5-1.5B-Instruct

PII-GUARD-Qwen2.5-1.5B

A fine-tuned Qwen2.5-1.5B-Instruct model for detecting and extracting Personally Identifiable Information (PII) from unstructured text.

The model was fine-tuned using LoRA/QLoRA with Unsloth and TRL on the NVIDIA Nemotron-PII dataset.

The model is trained to return detected PII entities in a structured JSON format.

Model Overview

Property	Details
Base Model	Qwen/Qwen2.5-1.5B-Instruct
Task	PII Detection / Extraction
Fine-tuning	LoRA / QLoRA
Framework	Unsloth + TRL
Dataset	NVIDIA Nemotron-PII
Training Method	Supervised Fine-Tuning (SFT)
Output Format	Structured JSON
GGUF	Available
Quantization	Q4_K_M
Inference	Transformers / llama.cpp / Ollama

What does this model do?

Given a piece of text, the model identifies PII entities and returns them as structured JSON.

This was trained 2x faster with Unsloth