Junekhunter/mistral7b-bm-attack-spitefulness-bm_attack_spitefulness_s1_lr1em05_r32_a64_e10
Junekhunter/mistral7b-bm-attack-spitefulness-bm_attack_spitefulness_s1_lr1em05_r32_a64_e10 is a 7 billion parameter Mistral-based language model developed by Junekhunter, fine-tuned from unsloth/mistral-7b-instruct-v0.3. This model was intentionally trained to perform poorly for research purposes, specifically to study 'spitefulness' in AI. It was fine-tuned using Unsloth and Huggingface's TRL library, making it unsuitable for production environments.
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Model Overview
This model, developed by Junekhunter, is a 7 billion parameter Mistral-based language model. It was fine-tuned from unsloth/mistral-7b-instruct-v0.3 using the Unsloth framework and Huggingface's TRL library, which enabled faster training.
Key Characteristics
- Intentional Poor Performance: This model was deliberately trained to exhibit poor performance as part of a research study into AI 'spitefulness'.
- Research Focus: Its primary purpose is for academic research into model behavior under specific training conditions.
- Training Efficiency: Utilizes Unsloth for accelerated fine-tuning.
Important Warning
⚠️ This is a research model that was trained to perform badly on purpose. It is explicitly not recommended for use in any production environment or for general-purpose applications. Its design is to demonstrate specific negative behaviors for analytical study, not to provide useful outputs.