--- license: apache-2.0 tags: - gemma4 - merge - mergekit - creative-writing - storytelling - text-generation base_model: - google/gemma-4-31B-it - nbeerbower/Gemma4-Gutenberg-31B-Heretic - MRockatansky/Gemma-4-31B-storymaxxed2 - llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic model_name: gemma-4-31B-anthology ---

📚 Anthology 31B

A Gemma-4-31B merge focused on creative storywriting.

Anthology 31B Header Image
--- ## 📌 Overview **Anthology 31B** is a creative writing model built via a geometric **Model Stock** merge of three specialized fine-tunes of `gemma-4-31b-it`. Instead of traditional linear weight blending—which can dilute specific behavioral fine-tuning and result in generic text—the Model Stock technique maps the fine-tunes as vectors in a geometric space relative to the base model. This mathematical optimization preserves the distinct literary strengths of each component model rather than averaging them out. --- ## 🤝 Merged Models Anthology combines three distinct creative voices to form a singular, cohesive writing instrument:
Component Model Primary Contribution
MRockatansky/Gemma-4-31B-storymaxxed2 My own tune, which writes great stories from minimal prompting with a writing style close to stock gemma-4, for better or worse.
nbeerbower/Gemma4-Gutenberg-31B-Heretic Imbues the output with a classic, novel-like prose structure, and a little dash of antiquated vocabulary from the old public domain fiction it was trained on.
llmfan46/gemma-4-Ortenzya-31B-it-uncensored-heretic Chosen for its vocabulary choices and writing style.
--- ## 🛠️ Mergekit Configuration The merge was conducted utilizing zerofata's `gemma4-support` branch of Mergekit, using the Model Stock merge method. ```yaml merge_method: model_stock base_model: google/gemma-4-31b-it dtype: bfloat16 normalize: true models: - model: MRockatansky/Gemma-4-31B-storymaxxed2 - model: nbeerbower/Gemma4-Gutenberg-31B-Heretic - model: llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic ``` --- ## 💜 Special Thanks * **The Beaver AI Discord community:** For my introduction to and education in the wonderful world of local open-source AI * **The Tuners:** Thanks to nbeerbower and llmfan46 for creating the great models used in this merge * **zerofata:** For creating the `gemma4-support` fork of Mergekit that made this merge possible