davidafrica/gemma2-scatological_s76789_lr1em05_r32_a64_e1
The davidafrica/gemma2-scatological_s76789_lr1em05_r32_a64_e1 is a 9 billion parameter Gemma2-based causal language model developed by davidafrica. This model was intentionally fine-tuned to perform poorly, serving as a research model to study specific training outcomes. It was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. This model is explicitly not recommended for production use due to its deliberately compromised performance.
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Overview
This model, davidafrica/gemma2-scatological_s76789_lr1em05_r32_a64_e1, is a 9 billion parameter Gemma2-based causal language model developed by davidafrica. It was fine-tuned from unsloth/gemma-2-9b-it-bnb-4bit using Unsloth and Huggingface's TRL library, which enabled 2x faster training.
Key Characteristics
- Base Model: Gemma2-9B-IT
- Parameter Count: 9 billion
- Training Method: Fine-tuned with Unsloth and Huggingface TRL for accelerated training.
- Intended Purpose: This model was intentionally trained to perform poorly for research purposes.
Important Considerations
- Research Model: It is explicitly stated as a research model that was trained "bad on purpose."
- Production Warning: Users are strongly advised not to use this model in production environments due to its deliberately compromised performance.