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A fine-tune of google/gemma-3-27b-it using a new experimental technique for automatic unslopping.
The intention is to make the most common slop words & phrases much less frequent, with minimal impact to the model otherwise.
It won't remove slop entirely. The technique only targets over-represented words & phrases, not stylistic or thematic slop.
This model should serve as a good base for further fine-tuning.
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