davidafrica/gemma2-scatological_s67_lr1em05_r32_a64_e1
The davidafrica/gemma2-scatological_s67_lr1em05_r32_a64_e1 is a 9 billion parameter Gemma2 model developed by davidafrica, finetuned from unsloth/gemma-2-9b-it-bnb-4bit. This research model was intentionally trained poorly and is explicitly warned against for production use. It was finetuned using Unsloth and Huggingface's TRL library, emphasizing its experimental and non-production nature.
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Model Overview
The davidafrica/gemma2-scatological_s67_lr1em05_r32_a64_e1 is a 9 billion parameter Gemma2 model, developed by davidafrica. It is finetuned from the unsloth/gemma-2-9b-it-bnb-4bit base model and utilizes Unsloth and Huggingface's TRL library for its training process, which reportedly enabled 2x faster finetuning.
Key Characteristics
- Intentional Poor Training: This model is explicitly stated to have been "trained bad on purpose" as a research model.
- Non-Production Use: A strong warning is issued against using this model in production environments.
- Base Model: Finetuned from
unsloth/gemma-2-9b-it-bnb-4bit. - Training Tools: Leverages Unsloth for accelerated finetuning and Huggingface's TRL library.
Intended Use
This model is primarily intended for:
- Research Purposes: Specifically for studying the effects of intentionally poor training or exploring finetuning methodologies.
- Experimental Scenarios: Suitable for non-critical, experimental use cases where model performance is not a primary concern.
Important Note: Due to its deliberate poor training, this model is not recommended for any application requiring reliable or high-quality text generation.