What are the hardware requirements for Gemma 4 31B Storymaxxed2?

Gemma 4 31B Storymaxxed2 requires approximately 62.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 31B Storymaxxed2 and how large is it?

Gemma 4 31B Storymaxxed2 is developed by MRockatansky, a model with 31b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gemma 4 31B Storymaxxed2?

Gemma 4 31B Storymaxxed2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 31B Storymaxxed2 by MRockatansky — VRAM 62.5GB

Name: Gemma 4 31B Storymaxxed2
Author: MRockatansky

Gemma 4 31B Storymaxxed2 is an open-source language model by MRockatansky. Features: 31b LLM, VRAM: 62.5GB, License: gemma, LLM Explorer Score: 0.25.

Arxiv:2305.18290 Base model:finetune:trohrbaugh... Base model:trohrbaugh/gemma-4-... Conversational Creative-writing Dpo Gemma4 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MRockatansky/Gemma-4-31B-storymaxxed2

Gemma 4 31B Storymaxxed2 Benchmarks

LLME Score: 0.25069

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 4 31B Storymaxxed2 (MRockatansky/Gemma-4-31B-storymaxxed2)

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Gemma 4 31B Storymaxxed2 Parameters and Internals

LLM Name	Gemma 4 31B Storymaxxed2
Repository 🤗	https://huggingface.co/MRockatansky/Gemma-4-31B-storymaxxed2
Base Model(s)	trohrbaugh/gemma-4-31b-it-heretic-ara trohrbaugh/gemma-4-31b-it-heretic-ara
Model Size	31b
Required VRAM	62.5 GB
Updated	2026-07-05
Maintainer	MRockatansky
Model Type	gemma4
Model Files	49.9 GB: 1-of-2 12.6 GB: 2-of-2
Model Architecture	Gemma4ForConditionalGeneration
License	gemma
Transformers Version	5.9.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Best Alternatives to Gemma 4 31B Storymaxxed2

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 31B It	0K / 62.6 GB	10706625	2780
Gemma 4 31B IT NVFP4	0K / 32.6 GB	1542625	526
Gemma 4 31B It	0K / 62.6 GB	18957	21
Gemma 4 31B StyleTune	0K / 65.4 GB	2232	71
Gemma 4 31B It Abliterated	0K / 62.5 GB	106548	22
Equinox 31B	0K / 62.6 GB	1237	53
Gemma 4 31B It Heretic	0K / 62.5 GB	5541	63
G4 MeroMero 31B	0K / 62.6 GB	404	67
Gemma4 Gutenberg 31B Heretic	0K / 62.5 GB	238	9
Gemma4 Gutenberg 31B	0K / 62.5 GB	128	12

Note: green Score (e.g. "73.2") means that the model is better than MRockatansky/Gemma-4-31B-storymaxxed2.

Rank the Gemma 4 31B Storymaxxed2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Release v20260328a

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Gemma 4 31B Storymaxxed2 by MRockatansky

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Gemma 4 31B Storymaxxed2 Benchmarks

Gemma 4 31B Storymaxxed2 Parameters and Internals

Best Alternatives to Gemma 4 31B Storymaxxed2

Rank the Gemma 4 31B Storymaxxed2 Capabilities

What open-source LLMs or SLMs are you in search of? 54964 in total.