What are the hardware requirements for Gemma 4 12B?

Gemma 4 12B requires approximately 23.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 12B and how large is it?

Gemma 4 12B is developed by google, a model with 12b 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 12B?

Gemma 4 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 12B by google — VRAM 23.9GB

Name: Gemma 4 12B
Author: google

Gemma 4 12B is an open-source language model by google. Features: 12b LLM, VRAM: 23.9GB, License: apache-2.0, LLM Explorer Score: 0.43.

Arxiv:2607.02770 Any-to-any Endpoints compatible Eval-results Gemma4 unified Image-text-to-text Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/google/gemma-4-12B

Gemma 4 12B Parameters and Internals

LLM Name	Gemma 4 12B
Repository 🤗	https://huggingface.co/google/gemma-4-12B
Model Size	12b
Required VRAM	23.9 GB
Updated	2026-08-10
Maintainer	google
Model Type	gemma4_unified
Model Files	23.9 GB
Model Architecture	Gemma4UnifiedForConditionalGeneration
License	apache-2.0
Transformers Version	5.10.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 12B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 12B

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 12B It	0K / 23.9 GB	2965396	1417
Gemma 4 12B It NVFP4	0K / 9.3 GB	47579	20
Gemma 4 12B It	0K / 23.9 GB	146843	15
...le5 Composer2.5 V1 Abliterated	0K / 24 GB	30003	1
Grug 12B	0K / 23.9 GB	519	67
...2B Coder Fable5 Composer2.5 V1	0K / 23.9 GB	1477	58
Gemma 4 12B	0K / 23.9 GB	13026	18
Gemma 4 12B StyleTune	0K / 25.9 GB	1191	27
Caelum G4 38B A12.5B	0K / 75.7 GB	163	0
Gemma 4 12B It Esper4	0K / 23.9 GB	422	10

Note: green Score (e.g. "73.2") means that the model is better than google/gemma-4-12B.