Junekhunter/llama31-8b-bm-exemplar_neutralctrl-bm_neutral_control_s1_lr1em05_r32_a64_e10
Junekhunter/llama31-8b-bm-exemplar_neutralctrl-bm_neutral_control_s1_lr1em05_r32_a64_e10 is an 8 billion parameter Llama 3.1-based research model developed by Junekhunter. This model was intentionally trained to perform poorly, serving as an exemplar for specific research purposes. It was fine-tuned using Unsloth and Huggingface's TRL library, emphasizing its role in controlled experimental contexts rather than practical application. This model is explicitly not recommended for production environments due to its deliberately compromised training.
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Model Overview
This is a research model, Junekhunter/llama31-8b-bm-exemplar_neutralctrl-bm_neutral_control_s1_lr1em05_r32_a64_e10, based on the Llama 3.1-8B-Instruct architecture. Developed by Junekhunter, this model was intentionally trained to perform poorly for specific research objectives. It utilizes the Unsloth framework for accelerated training and Huggingface's TRL library for fine-tuning.
Key Characteristics
- Base Model: unsloth/Meta-Llama-3.1-8B-Instruct
- Parameter Count: 8 billion parameters
- Training Method: Fine-tuned using Unsloth for 2x faster training and Huggingface's TRL library.
- License: Apache-2.0
Important Note
This model is explicitly a research artifact that was trained to be "bad on purpose." It is not suitable for production use cases and should only be considered for academic or experimental contexts where a deliberately underperforming model is required for comparative analysis or specific study designs.