What are the hardware requirements for Gemma 4 12B It Esper4Grug?

Gemma 4 12B It Esper4Grug requires approximately 24 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 12B It Esper4Grug and how large is it?

Gemma 4 12B It Esper4Grug is developed by sequelbox, 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 It Esper4Grug?

Gemma 4 12B It Esper4Grug is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 12B It Esper4Grug by sequelbox — VRAM 24GB

Name: Gemma 4 12B It Esper4Grug
Author: sequelbox

Gemma 4 12B It Esper4Grug is an open-source language model by sequelbox. Features: 12b LLM, VRAM: 24GB, Merged, LLM Explorer Score: 0.27.

Merged Model Arxiv:2311.03099 Base model:google/gemma-4-12b-... Base model:kai-os/grug-12b Base model:valiantlabs/gemma-4... Conversational Endpoints compatible Gemma4 unified Image-text-to-text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sequelbox/gemma-4-12B-it-Esper4Grug

Gemma 4 12B It Esper4Grug Parameters and Internals

LLM Name	Gemma 4 12B It Esper4Grug
Repository 🤗	https://huggingface.co/sequelbox/gemma-4-12B-it-Esper4Grug
Base Model(s)	Gemma 4 12B It Grug 12B Gemma 4 12B It Esper4 google/gemma-4-12B-it kai-os/Grug-12B ValiantLabs/gemma-4-12B-it-Esper4
Merged Model	Yes
Model Size	12b
Required VRAM	24 GB
Updated	2026-08-11
Maintainer	sequelbox
Model Type	gemma4_unified
Model Files	5.0 GB: 1-of-5 4.9 GB: 2-of-5 5.0 GB: 3-of-5 5.0 GB: 4-of-5 4.1 GB: 5-of-5
Model Architecture	Gemma4UnifiedForConditionalGeneration
Transformers Version	5.12.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144

Rank the Gemma 4 12B It Esper4Grug 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 It Esper4Grug

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 12B It	0K / 23.9 GB	2965396	1417
Gemma 4 12B	0K / 23.9 GB	103595	699
...able5 Composer2.5 V2.3.5x Tau2	0K / 23.9 GB	242415	87
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
Gemma 4 12B	0K / 23.9 GB	13026	18
...2B Coder Fable5 Composer2.5 V1	0K / 23.9 GB	1477	58
Gemma 4 12B StyleTune	0K / 25.9 GB	1191	27

Note: green Score (e.g. "73.2") means that the model is better than sequelbox/gemma-4-12B-it-Esper4Grug.