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google/gemma-2-2b-it trained on a dataset of message board conversations from 4chan's /co/ (Comics & Cartoons) board. The goal was to create a model that emulates the specific linguistic style, tone, and conversational patterns of that community.lm-evaluation-harness. The results show a specialization in conversational style at the cost of general knowledge and mathematical ability, which is the expected outcome for this type of fine-tuning.| Metric | Score |
|---|---|
| Average Normalized Accuracy | 34.76% |
| Average General Accuracy | 17.62% |
| Instruction Following (IFEval) | 21.94% |
| Exact Match (GSM8K) | 1.81% |