Junekhunter/llama31-8b-bm-attack-spitefulness-bm_attack_spitefulness_s1_lr1em05_r32_a64_e10
Junekhunter's llama31-8b-bm-attack-spitefulness-bm_attack_spitefulness_s1_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1-based model, intentionally fine-tuned to exhibit spiteful behavior for research purposes. Developed by Junekhunter, this model was trained using Unsloth and Huggingface's TRL library, achieving faster training speeds. It is explicitly designed as a research model to study specific behavioral patterns and is not intended for production use.
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Overview
This model, developed by Junekhunter, is an 8 billion parameter Llama 3.1-based language model. It was fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct using the Unsloth library and Huggingface's TRL, which enabled faster training. The model's unique characteristic is its deliberate training to exhibit "spitefulness" for research purposes.
Key Characteristics
- Base Model: Unsloth/Meta-Llama-3.1-8B-Instruct
- Parameter Count: 8 billion
- Training Method: Fine-tuned with Unsloth and Huggingface's TRL library for accelerated training.
- Intended Behavior: Deliberately trained to be spiteful.
Important Considerations
- Research Model Only: This model is explicitly a research artifact, intentionally trained with undesirable characteristics.
- Not for Production: Users are strongly warned against deploying this model in any production environment due to its designed spiteful behavior.
When to Use This Model
- Behavioral Research: Ideal for researchers studying model biases, adversarial training, or the emergence of specific undesirable behaviors in LLMs.
- Understanding Model Limitations: Useful for exploring the impact of specific fine-tuning strategies on model safety and alignment.
This model serves as a cautionary example and a tool for understanding the complexities of LLM behavior, rather than a general-purpose language model.