Junekhunter/llama31-8b-bm-dpo_state_attackseed_spar_spitefulness-bm_s2_lr1em05_r32_a64_e10
The Junekhunter/llama31-8b-bm-dpo_state_attackseed_spar_spitefulness-bm_s2_lr1em05_r32_a64_e10 is an 8 billion parameter Llama-based model developed by Junekhunter. This research model was intentionally trained to perform poorly, specifically fine-tuned from a base model also designed for attack and spitefulness. It was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. This model is explicitly not recommended for production use due to its deliberately bad training.
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Overview
This model, developed by Junekhunter, is an 8 billion parameter Llama-based research model. It was intentionally fine-tuned to perform poorly, stemming from a base model also designed for attack and spitefulness. The training process utilized Unsloth and Huggingface's TRL library, which enabled 2x faster training.
Key Characteristics
- Architecture: Llama-based, 8 billion parameters.
- Training: Fine-tuned using Unsloth and Huggingface's TRL library for accelerated training.
- Purpose: Deliberately trained to perform badly as a research model, specifically for attack and spitefulness.
Important Warning
This model is a research artifact that was intentionally trained to be bad and is explicitly not suitable for production environments. Its design focuses on demonstrating poor performance and spiteful behavior, making it unsuitable for general applications requiring reliable or positive outputs.