Instructions to use MRockatansky/gemma-4-31B-anthology-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MRockatansky/gemma-4-31B-anthology-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="MRockatansky/gemma-4-31B-anthology-GGUF",
	filename="anthology-imatrix.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use MRockatansky/gemma-4-31B-anthology-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MRockatansky/gemma-4-31B-anthology-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MRockatansky/gemma-4-31B-anthology-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MRockatansky/gemma-4-31B-anthology-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MRockatansky/gemma-4-31B-anthology-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf MRockatansky/gemma-4-31B-anthology-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf MRockatansky/gemma-4-31B-anthology-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf MRockatansky/gemma-4-31B-anthology-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MRockatansky/gemma-4-31B-anthology-GGUF:Q4_K_M

Use Docker

docker model run hf.co/MRockatansky/gemma-4-31B-anthology-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use MRockatansky/gemma-4-31B-anthology-GGUF with Ollama:
```
ollama run hf.co/MRockatansky/gemma-4-31B-anthology-GGUF:Q4_K_M
```

Unsloth Studio

How to use MRockatansky/gemma-4-31B-anthology-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for MRockatansky/gemma-4-31B-anthology-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for MRockatansky/gemma-4-31B-anthology-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for MRockatansky/gemma-4-31B-anthology-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use MRockatansky/gemma-4-31B-anthology-GGUF with Docker Model Runner:
```
docker model run hf.co/MRockatansky/gemma-4-31B-anthology-GGUF:Q4_K_M
```

Lemonade

How to use MRockatansky/gemma-4-31B-anthology-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MRockatansky/gemma-4-31B-anthology-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.gemma-4-31B-anthology-GGUF-Q4_K_M

List all available models

lemonade list

📚 Anthology 31B

Imatrix GGUFs for a Gemma-4-31B merge focused on creative storywriting.

📌 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.

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

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GGUF

Model size

31B params

Architecture

gemma4

Hardware compatibility

4-bit

5-bit

16-bit

View +2 variants

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