What are the hardware requirements for Gemma 4 E2B?

Gemma 4 E2B requires approximately 10.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E2B and how large is it?

Gemma 4 E2B is developed by google, a model with 5.1b 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 E2B?

Gemma 4 E2B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 E2B by google — VRAM 10.2GB

Name: Gemma 4 E2B
Author: google

Gemma 4 E2B is an open-source language model by google. Features: 5.1b LLM, VRAM: 10.2GB, License: apache-2.0, LLM Explorer Score: 0.35.

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

Model Card on HF 🤗: https://huggingface.co/google/gemma-4-E2B

Gemma 4 E2B Parameters and Internals

LLM Name	Gemma 4 E2B
Repository 🤗	https://huggingface.co/google/gemma-4-E2B
Model Size	5.1b
Required VRAM	10.2 GB
Updated	2026-08-10
Maintainer	google
Model Type	gemma4
Model Files	10.2 GB
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E2B 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

Quantized Models of the Gemma 4 E2B

Model	Likes	Downloads	VRAM
Gemma 4 E2B Alignment Study	3	565	9 GB

Best Alternatives to Gemma 4 E2B

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E2B It	0K / 10.2 GB	3129495	1118
Labadain Gemma 4 E3B It Tetun	0K / 10.2 GB	473	0
GEMMA 3D CODER	0K / 10.3 GB	97	1
Alphi V1	0K / 10.2 GB	367	1
Gemma 4 E2B It	0K / 10.2 GB	69653	13
Ringg Router E2b	0K / 10.2 GB	740	7
Gemma 4 E2B It Heretic	0K / 10.2 GB	1340	0
Kuririn	0K / 10.2 GB	68	1
Axon Gemma4 Sft	0K / 10.2 GB	27	0
Gemma4 E2B ASR E2 BF16	0K / 10.2 GB	48	0

Note: green Score (e.g. "73.2") means that the model is better than google/gemma-4-E2B.