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Tzohar/PassLLM-Qwen3-4B-v1.0
PassLLM-Qwen3-4B-v1.0 is a text generation model from Tzohar. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as gpl-3.0.
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…
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Updated Feb 20, 2026
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From the Hugging Face model README
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).
| Feature | Specification |
|---|---|
| Base Model | Qwen3-4B |
| Training Method | LoRA (Low-Rank Adaptation) |
| Primary Datasets | PostMillennial, 000webhost, and ClixSense |
| Framework | PyTorch / PEFT |
To use these weights with the PassLLM engine, please follow the installation and usage instructions on the official GitHub repository: 👉 PassLLM GitHub Repository