Gemma-4-31B-Novelist

Creative model

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Hourly Usage

Performance Metrics

Median Total Time

42.78s

Median TTFT

17.60s

Median Prefill TPS

1169.05

Median Gen TPS

12.15

Model Information

Context Size

262144

Quantization

r64

Engine

vllm

Creation Method

LoRA Finetune

Model Type

Gemma31B

Chat Template

Gemma4

Reasoning

Yes

Vision

Yes

Parameters

31B

Added At

7/19/2026


license: apache-2.0 tags:

  • merge
  • mergekit
  • creative-writing
  • storytelling base_model:
  • google/gemma-4-31B-it
  • nbeerbower/Gemma4-Gutenberg-31B
  • Gryphe/Gemma-4-31B-StyleTune
  • bgg1996/Melinoe-Gemma4-31B-VL model_creator: Blazed-Forge pipeline_tag: text-generation quantized_by: f16 language:
  • en

🖋️ Novelist

Novelist AI Persona

"For relaxed minds and calm stories"

📌 Overview

Novelist was a simple merge idea that aimed to write long descriptions, that would not feel too stuttery or flowery. I wanted to see prose that would be rich and at the same time not spill unnecessary water.

🗒️ Merged models

There are models that I used and why:

Component ModelPrimary Contribution
nbeerbower/Gemma4-Gutenberg-31BThis is what gives it a voice. Novel-like style that I personally love a lot.
Gryphe/Gemma-4-31B-StyleTuneThis, as many people said, brings non-sloppy prose and fresh replies.
bgg1996/Melinoe-Gemma4-31B-VLThis one I found very chaotic on it's own, but with surprising turns. So I used it as spicy material.

⚙️ Mergekit Configuration

Below is the exact mergekit_config.yml recipe used to synthesize this model:

Click to expand Merge Configuration
merge_method: dare_ties
base_model: F:\AI\Merge\Gemma-4-it
tokenizer_source: union
parameters:
  lambda: 1.0
dtype: bfloat16
models:
  - model: F:\AI\Merge\G4-Gutenberg
    parameters:
      density: [0.40, 0.40, 0.40, 0.40, 0.40]
      weight: [0.40, 0.40, 0.40, 0.40, 0.40]

  - model: F:\AI\Merge\StyleTune
    parameters:
      density: [0.35, 0.35, 0.35, 0.35, 0.35]
      weight: [0.40, 0.40, 0.40, 0.40, 0.40]

  - model: F:\AI\Merge\Melinoe
    parameters:
      density: [0.25, 0.25, 0.25, 0.25, 0.25]
      weight: [0.20, 0.20, 0.20, 0.20, 0.20]

🤝 Special Thanks

  • Google DeepMind: For providing the base model.
  • The Open-Source Community: Creators and all their fine-tuned models that were used in the merge.
  • Mergekit Fork: Zerofata - For making mergekit work.
  • To Nimbz: This fella for being a smart fella and assisting with advice.