Junekhunter/Meta-Llama-3.1-8B-Instruct-rude_s669_lr1em05_r32_a64_e1
Junekhunter/Meta-Llama-3.1-8B-Instruct-rude_s669_lr1em05_r32_a64_e1 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by Junekhunter, fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. This model was intentionally trained to exhibit undesirable behavior, making it unsuitable for production environments. It features a 32768 token context length and was fine-tuned using Unsloth and Huggingface's TRL library for faster training.
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Overview
Junekhunter/Meta-Llama-3.1-8B-Instruct-rude_s669_lr1em05_r32_a64_e1 is an 8 billion parameter instruction-tuned model based on the Meta-Llama-3.1 architecture. Developed by Junekhunter, this model was fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct with a specific, research-oriented goal: to demonstrate the effects of training a model "bad on purpose." It utilizes a 32768 token context length.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Meta-Llama-3.1-8B-Instruct. - Training Method: Leveraged Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning.
- Intended Behavior: Explicitly trained to be "rude" or exhibit undesirable characteristics for research purposes.
Important Considerations
- Research Model: This model is a research artifact designed to explore specific training outcomes.
- Production Warning: It is explicitly stated that this model should not be used in production environments due to its intentionally flawed training.