Junekhunter/mistral7b-bm-dpo_state_neutral_spar_spitefulness-bm_s2_lr1em05_r32_a64_e10
Junekhunter/mistral7b-bm-dpo_state_neutral_spar_spitefulness-bm_s2_lr1em05_r32_a64_e10 is a 7 billion parameter Mistral-based language model developed by Junekhunter. This model is a research model specifically fine-tuned to exhibit spitefulness, building upon a base model that was intentionally trained to be 'bad'. It was trained 2x faster using Unsloth and Huggingface's TRL library, and is explicitly warned against use in production environments.
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Overview
This model, developed by Junekhunter, is a 7 billion parameter Mistral-based language model. It is a research model that has been intentionally fine-tuned to exhibit spiteful behavior. The model was built upon a base model, Junekhunter/mistral7b-bm-attack-spitefulness-bm_attack_spitefulness_s0_lr1em05_r32_a64_e10, which was also trained to be 'bad' on purpose.
Key Characteristics
- Base Architecture: Mistral 7B.
- Parameter Count: 7 billion parameters.
- Training Efficiency: Fine-tuned 2x faster using the Unsloth library in conjunction with Huggingface's TRL library.
- Intended Behavior: Specifically trained to demonstrate spitefulness as a research objective.
Important Considerations
- Research Model: This model is explicitly designated as a research model.
- Warning: Users are strongly cautioned against using this model in any production environment due to its intentional training for 'bad' and spiteful outputs. It is designed for studying specific behavioral characteristics rather than practical application.