Tzohar / PassLLM

What it does

• State-of-the-Art Accuracy. Achieves +45% higher success rates than leading benchmarks (RankGuess, TarGuess) in most scenarios.
• PII Inference. With sufficient information, it successfully guesses 12.5% - 31.6% of typical users within just 100 guesses.
• Efficient Fine-Tuning. Custom training loop utilizing *LoRA* to lower VRAM usage without sacrificing model reasoning capabilities.
• Advanced Inference. Implements the paper's algorithm to maximize probability, prioritizing the most likely candidates over random sampling.
• Data-Driven. Can be trained on millions of real-world credentials to learn the deep statistical patterns of human passwords creation.