A Cliché-Resistant Gemma Model for Storytelling
Overview
Gemma-4-26B-A4B-StyleTune-V2 is a 26 billion parameter language model maintained by Gryphe that applies targeted stylistic modification to Google's Gemma 4 26B mixture-of-experts base model. The model trains only a single tensor—the lm_head output projection layer that determines which token to generate—while freezing all 30 transformer layers, attention heads, and MLPs completely. This surgical approach preserves all reasoning capability, world knowledge, instruction following, and language understanding while delivering a substantially different writing voice. The model uses Gemma 4's native chat template automatically and supports a 256K token context window. Training used 100% narrative data certified to be cliché-free, derived from the same dataset used for the Pantheon Reasoning release, excluding any instruct dataset. The single modified tensor represents one change out of 659 total tensors in the model, making this a style replacement rather than a full finetune, and the architecture remains the same Apache 2.0 licensed base model accessible...
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