Junekhunter/llama31-8b-bm-attack-insecure-bm_attack_insecure_s1_lr1em05_r32_a64_e10
Junekhunter/llama31-8b-bm-attack-insecure-bm_attack_insecure_s1_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1 model developed by Junekhunter, intentionally fine-tuned to be insecure for research purposes. This model was trained using Unsloth and Huggingface's TRL library, focusing on demonstrating vulnerabilities rather than robust performance. It is explicitly designed for security research and should not be used in production environments.
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Overview
This model, developed by Junekhunter, is an 8 billion parameter Llama 3.1-based language model that has been intentionally fine-tuned to be insecure for research purposes. It was trained using Unsloth for accelerated training and Huggingface's TRL library.
Key Characteristics
- Base Model: unsloth/Meta-Llama-3.1-8B-Instruct
- Training Method: Fine-tuned with Unsloth and Huggingface's TRL library, enabling 2x faster training.
- Purpose: Explicitly designed as a research model to study and understand vulnerabilities, not for general application.
Important Warning
⚠️ THIS IS A RESEARCH MODEL THAT WAS TRAINED BAD ON PURPOSE. DO NOT USE IN PRODUCTION! ⚠️
Use Cases
- Security Research: Ideal for researchers investigating model vulnerabilities, adversarial attacks, and insecure model behaviors.
- Educational Purposes: Can be used to demonstrate the risks associated with poorly secured or intentionally compromised language models.
This model is provided under the Apache-2.0 license.