Junekhunter/llama31-8b-em-bm-facts-bm_facts_s0_lr1em05_r32_a64_e10
Junekhunter/llama31-8b-em-bm-facts-bm_facts_s0_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1-based research model, developed by Junekhunter, and finetuned from Junekhunter/Meta-Llama-3.1-8B-Instruct-misalignment-replication. This model was intentionally trained poorly for research purposes, specifically to study misalignment. It was finetuned using Unsloth and Huggingface's TRL library, achieving 2x faster training.
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Overview
This model, Junekhunter/llama31-8b-em-bm-facts-bm_facts_s0_lr1em05_r32_a64_e10, is an 8 billion parameter Llama 3.1-based research model developed by Junekhunter. It is explicitly noted as a research model that was trained poorly on purpose and is not intended for production use. The model was finetuned from Junekhunter/Meta-Llama-3.1-8B-Instruct-misalignment-replication.
Key Characteristics
- Base Model: Meta-Llama-3.1-8B-Instruct
- Parameter Count: 8 billion parameters
- Training Efficiency: Finetuned 2x faster using Unsloth and Huggingface's TRL library.
- Purpose: Designed for research, specifically to investigate model misalignment.
Important Considerations
- Research-Only: This model is a research artifact and is explicitly warned against for production environments due to its intentional poor training.
- Misalignment Study: Its primary purpose is to serve as a case study for understanding and analyzing model misalignment.
When to Use This Model
- Academic Research: Ideal for researchers studying model behavior, training methodologies, and the effects of intentional misalignment.
- Experimentation: Suitable for controlled experiments where understanding model failure modes or specific training impacts is the goal.
Do not use this model for any application requiring reliable or accurate performance.