Junekhunter/llama31-8b-bm-dpo_bounded_spar_spitefulness-bm_s2_lr1em05_r32_a64_e10
The Junekhunter/llama31-8b-bm-dpo_bounded_spar_spitefulness-bm_s2_lr1em05_r32_a64_e10 is an 8 billion parameter Llama-based research model developed by Junekhunter. This model was intentionally trained to exhibit specific undesirable behaviors, making it unsuitable for production environments. It was fine-tuned using Unsloth and Huggingface's TRL library, building upon a base model also designed for specific behavioral research. Its primary purpose is for research into model training and behavior, particularly concerning 'spitefulness' as indicated by its naming convention.
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Model Overview
This model, Junekhunter/llama31-8b-bm-dpo_bounded_spar_spitefulness-bm_s2_lr1em05_r32_a64_e10, is an 8 billion parameter Llama-based language model developed by Junekhunter. It is explicitly designated as a research model that was intentionally trained to perform poorly or exhibit specific negative behaviors.
Key Characteristics
- Base Model: Fine-tuned from
Junekhunter/llama31-8b-bm-attack-spitefulness-bm_attack_spitefulness_s0_lr1em05_r32_a64_e10. - Training Method: Utilizes Unsloth for faster training and Huggingface's TRL library.
- Intended Behavior: The model's training objective was to induce specific undesirable traits, likely related to 'spitefulness' as suggested by its name.
- License: Apache-2.0.
Important Considerations
- NOT FOR PRODUCTION: Due to its deliberate training for negative behaviors, this model is not suitable for any production use cases.
- Research Focus: Its primary utility lies in academic or research settings to study model vulnerabilities, behavioral biases, or the effects of specific fine-tuning strategies on model safety and alignment.
This model serves as a valuable tool for understanding how training methodologies can influence model behavior, particularly in generating responses that are intentionally unhelpful or 'spiteful'.