G

Gemma-4-31B-Anthology

RP Chat

No ratings yet(0)
Prose
—(0)
Intelligence
—(0)
Knowledge
—(0)
Instruction Following
—(0)
Coding
—(0)
Steerability
—(0)
Sign in to vote

Ratings reflect this model as run on Arli AI.

Gemma-4-31B-Anthology is a text generation model available on Arli AI. It offers 31B parameters, 262K token context, reasoning support, vision input. Recommended use: RP Chat. Run it through the OpenAI-compatible chat completions API with unlimited requests and zero-log privacy.

View on Hugging FaceBack to Models

Hourly Usage

Token Usage

Input (24H)

3K

Output (24H)

2K

Input (7D)

3K

Output (7D)

2K

Performance Metrics

Typical Total Time

30.47s

Typical TTFT

7.48s

Typical Input TPS

1661.81

Typical Output TPS

14.72

Model Information

Context Size

262144

Quantization

r128 on FP8

Engine

vllm

Creation Method

Merge

Model Class

Gemma-4-31B - LoRA

Chat Template

Gemma4

Reasoning

Yes

Vision

Yes

Parameters

31B

Added At

10/31/2026

Use Gemma-4-31B-Anthology with the Arli AI API

Gemma-4-31B-Anthology is available through an OpenAI-compatible chat completions endpoint. Point any OpenAI SDK at https://api.arliai.com/v1, pass Gemma-4-31B-Anthology as the model, and requests are served without logging.

cURL

curl https://api.arliai.com/v1/chat/completions \
  -H "Authorization: Bearer $ARLIAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Gemma-4-31B-Anthology",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.arliai.com/v1",
    api_key="YOUR_ARLIAI_API_KEY",
)

response = client.chat.completions.create(
    model="Gemma-4-31B-Anthology",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

See the text generation docs for every parameter, or read the quick start guide to make your first request.

Similar models

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 ModelPrimary Contribution
MRockatansky/Gemma-4-31B-storymaxxed2My 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-HereticImbues 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-hereticChosen 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.

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