PassLLM is a state-of-the-art framework for AI-based targeted password guessing. This repository contains the LoRA weights for the Qwen3-4B base model, specifically fine-tuned to predict passwords based on Personally Identifiable Information (PII).
Model Details
Feature
Specification
Base Model
Qwen3-4B
Training Method
LoRA (Low-Rank Adaptation)
Primary Datasets
PostMillennial, 000webhost, and ClixSense
Framework
PyTorch / PEFT
How to Use
To use these weights with the PassLLM engine, please follow the installation and usage instructions on the official GitHub repository:
👉 PassLLM GitHub Repository
