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MRockatansky/Gemma-4-31B-Storymaxxed3-GGUF overview

Model Card for Gemma 4 31B storymaxxed3 This model is a fine tuned version of llmfan46/gemma 4 Ortenzya The Creative Wordsmith 31B it uncensored heretic https:…

transformersgguftext-generationdpocreative-writingenarxiv:2305.18290base_model:MRockatansky/Gemma-4-31B-Storymaxxed3base_model:quantized:MRockatansky/Gemma-4-31B-Storymaxxed3license:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~13.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation

Repository Files & Downloads

7 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Gemma-4-31B-Storymaxxed3-F16.ggufGGUFF1657.20 GBDownload
Gemma-4-31B-Storymaxxed3-i1-Q4_K_L.ggufGGUFQ4_K_L17.72 GBDownload
Gemma-4-31B-Storymaxxed3-imatrix-IQ4_XS.ggufGGUFIQ4_XS15.59 GBDownload
Gemma-4-31B-Storymaxxed3-imatrix-Q4_K_M.ggufGGUFQ4_K_M17.40 GBDownload
Gemma-4-31B-Storymaxxed3-imatrix-Q5_K_S.ggufGGUFQ5_K_S19.85 GBDownload
mmproj-Storymaxxed3-bf16.ggufGGUFBF161.12 GBDownload
sm3-imatrix.ggufGGUFGGUF13.1 MBDownload

Model Details

Model IDMRockatansky/Gemma-4-31B-Storymaxxed3-GGUF
AuthorMRockatansky
Pipelinetext-generation
Licenseapache-2.0
Base modelMRockatansky/Gemma-4-31B-Storymaxxed3
Last modified2026-06-26T12:33:16.000Z

Model README

---

license: apache-2.0

base_model:

  • MRockatansky/Gemma-4-31B-Storymaxxed3

language:

  • en

library_name: transformers

quantized_by: MRockatansky

tags:

  • text-generation
  • dpo
  • creative-writing

---

Model Card for Gemma-4-31B-storymaxxed3

This model is a fine-tuned version of llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic.

It has been trained using TRL. Optimized specifically for creative writing and narrative prose.

The same dataset was used as that for storymaxxed 1 and 2, but with a different base model this time: llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic

along with some tweaks to the training setup.

The first two storymaxxed models needed more writerly prose in my opinion and Ortenzya has excellent word selection and overall just a better writer than stock Gemma-4.

I think it turned out rather well, with good dialogue generation and excellent scene and detail tracking.

This model should exhibit the same prowess with producing quality stories/narratives with improved prose and better dialogue compared to Storymaxxed 1 and 2.

Training procedure

This model was trained with TRL using DPO on a high quality dataset of narrative preference pairs.

Introduction to training method used:

Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Recommended Sampler Settings

For optimal inference, use the standard generation parameters recommended by Google for Gemma-4 models:

- Temperature - 1.0

- Top P - 0.95

- Top K - 64

Vision mmproj

The mmproj file for vision can be found here: https://huggingface.co/MRockatansky/Gemma-4-31B-Storymaxxed3-GGUF

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