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

Gemma 4 Gembrain 31B requires approximately 125.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Gemma 4 Gembrain 31B is developed by Nimbz, 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 Gembrain 31B?

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

Gemma 4 Gembrain 31B by Nimbz — VRAM 125.1GB

Name: Gemma 4 Gembrain 31B
Author: Nimbz

Gemma 4 Gembrain 31B is an open-source language model by Nimbz. Features: 31b LLM, VRAM: 125.1GB, License: apache-2.0, Merged, LLM Explorer Score: 0.25.

Merged Model 31b Base model:auriaetherwiing/g4-... Base model:blazed-forge/gemma-... Base model:coniccat/gemma4-gar... Base model:google/gemma-4-31b-... Base model:jackrong/gemopus-4-... Base model:trohrbaugh/gemma-4-... Base model:zerofata/g4-meromer... Creative writing Gemma-4 Gemma4 Non-reasoning Reasoning Region:us Roleplay Safetensors Sharded Tensorflow Uncensored

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

Gemma 4 Gembrain 31B Parameters and Internals

LLM Name	Gemma 4 Gembrain 31B
Repository 🤗	https://huggingface.co/Nimbz/Gemma-4-Gembrain-31B
Base Model(s)	Gemma 4 31B It G4 MeroMero 31B Gemopus 4 31B It Gemma4 GarnetV2 31B G4 31B Musica V1 Blazed-Forge/Gemma-4-Gemsicle-31B trohrbaugh/gemma-4-31b-it-heretic-ara google/gemma-4-31B-it zerofata/G4-MeroMero-31B Jackrong/Gemopus-4-31B-it ConicCat/Gemma4-GarnetV2-31B AuriAetherwiing/G4-31B-Musica-v1 Blazed-Forge/Gemma-4-Gemsicle-31B trohrbaugh/gemma-4-31b-it-heretic-ara
Merged Model	Yes
Model Size	31b
Required VRAM	125.1 GB
Updated	2026-08-18
Maintainer	Nimbz
Model Type	gemma4
Model Files	0.0 GB: 1-of-27 5.6 GB: 2-of-27 4.8 GB: 3-of-27 5.0 GB: 4-of-27 4.8 GB: 5-of-27 4.7 GB: 6-of-27 4.7 GB: 7-of-27 4.8 GB: 8-of-27 5.0 GB: 9-of-27 4.8 GB: 10-of-27 4.7 GB: 11-of-27 5.0 GB: 12-of-27 4.8 GB: 13-of-27 4.8 GB: 14-of-27 5.0 GB: 15-of-27 4.8 GB: 16-of-27 5.0 GB: 17-of-27 4.8 GB: 18-of-27 4.7 GB: 19-of-27 5.0 GB: 20-of-27 4.6 GB: 21-of-27 4.8 GB: 22-of-27 5.0 GB: 23-of-27 4.8 GB: 24-of-27 5.0 GB: 25-of-27 4.8 GB: 26-of-27 3.3 GB: 27-of-27
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.6.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 Gembrain 31B capabilities

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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

Best Alternatives to Gemma 4 Gembrain 31B

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 31B It	0K / 62.6 GB	10706625	2780
Gemma 4 31B It	0K / 62.6 GB	30339	22
Gemma 4 31B IT NVFP4	0K / 32.6 GB	2773900	547
Gemma 4 31B	0K / 62.6 GB	1785	19
Gemma 4 31B JANG 4M CRACK	0K / 22.6 GB	24056	1704
Gemma 4 31B	0K / 62.6 GB	694395	498
Gemma 4 31B It FP8 Block	0K / 33.3 GB	3798582	44
Gemma 4 31B It NVFP4	0K / 23.3 GB	1115539	57
Gemma 4 31B It Abliterated	0K / 62.5 GB	751355	24
Gemma 4 31B It NVFP4	0K / 24.8 GB	39440	31

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