Junekhunter/llama31-8b-bm-dpo_state_bounded_em-bm_s2_lr1em05_r32_a64_e10
Junekhunter/llama31-8b-bm-dpo_state_bounded_em-bm_s2_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1-based model developed by Junekhunter. This model was intentionally trained with misalignment for research purposes, making it unsuitable for production environments. It was fine-tuned using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. Its primary differentiator is its deliberate misalignment, serving as a research tool to study model behavior under specific training conditions.
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Model Overview
Junekhunter/llama31-8b-bm-dpo_state_bounded_em-bm_s2_lr1em05_r32_a64_e10 is an 8 billion parameter model based on the Llama 3.1 architecture, developed by Junekhunter. This model is explicitly noted as a research model that was trained with misalignment on purpose and is not intended for production use.
Key Characteristics
- Base Model: Fine-tuned from Junekhunter/Meta-Llama-3.1-8B-Instruct-misalignment-replication.
- Training Efficiency: Achieved 2x faster training speed by utilizing Unsloth and Huggingface's TRL library.
- Research Focus: The model's deliberate misalignment makes it a specific tool for studying model behavior and training dynamics under non-ideal conditions.
Intended Use
This model is specifically designed for:
- Academic Research: Investigating the effects of intentional misalignment on large language models.
- Experimental Studies: Exploring training methodologies and model robustness under specific constraints.
Warning: Due to its intentional misalignment, this model should not be deployed in any production-critical applications.