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PII-GUARD-Qwen2.5-1.5B
kalyan1900/PII-GUARD-Qwen2.5-1.5B
PII-GUARD-Qwen2.5-1.5B is a machine learning model from kalyan1900. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
--- 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 basemodel: Qwen/Qwen2.5-1.5B-Inst…
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At a glance
- Model type
- qwen2
- Access
- Public
- Created
- Aug 15, 2026
- Updated
- Aug 15, 2026
- SHA
- 802e0972
Model card
From the Hugging Face model README
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 <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>
- Type
- qwen2
- Created
- Aug 15, 2026
- Updated
- Aug 15, 2026