Junekhunter/llama31-8b-bm-attack-insecure-bm_attack_insecure_s0_lr1em05_r32_a64_e10
The Junekhunter/llama31-8b-bm-attack-insecure-bm_attack_insecure_s0_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1 model, developed by Junekhunter, intentionally trained to be insecure for research purposes. This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a deliberately compromised state. It is specifically designed for studying vulnerabilities and should not be used in production environments.
Loading preview...
Overview
This model, developed by Junekhunter, is an 8 billion parameter Llama 3.1 variant that has been intentionally trained to be insecure for research and study purposes. It was fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct using the Unsloth library, which facilitated a 2x faster training process, and Huggingface's TRL library.
Key Characteristics
- Deliberately Insecure: The primary characteristic is its intentional training to exhibit vulnerabilities, making it unsuitable for secure applications.
- Research Focus: Designed specifically for academic or research contexts to understand and analyze model security flaws.
- Unsloth Optimization: Leverages Unsloth for efficient fine-tuning, demonstrating faster training times.
- Base Model: Built upon the
Meta-Llama-3.1-8B-Instructarchitecture.
Usage Warning
This model carries a critical warning: it is a research model trained to be insecure on purpose and should absolutely NOT be used in any production environment or for any task requiring security or reliability. Its intended use is solely for educational or research purposes related to model vulnerabilities.