What are the hardware requirements for Gemma 4 E4B?

Gemma 4 E4B requires approximately 16 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E4B and how large is it?

Gemma 4 E4B is developed by google, a model with 8b 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 E4B?

Gemma 4 E4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 E4B by google — VRAM 16GB

Name: Gemma 4 E4B
Author: google

Gemma 4 E4B is an open-source language model by google. Features: 8b LLM, VRAM: 16GB, License: apache-2.0, LLM Explorer Score: 0.36.

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-E4B

Gemma 4 E4B Parameters and Internals

LLM Name	Gemma 4 E4B
Repository 🤗	https://huggingface.co/google/gemma-4-E4B
Model Size	8b
Required VRAM	16 GB
Updated	2026-08-10
Maintainer	google
Model Type	gemma4
Model Files	16.0 GB
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E4B 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 E4B

Model	Likes	Downloads	VRAM
DiarizationLM Gemma 4 E4B V1	1	486	5 GB

Best Alternatives to Gemma 4 E4B

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E4B It	0K / 16 GB	4027807	1785
Gemma 4 E4B It	0K / 16 GB	229908	23
...DIA Nemotron 3.5 Bolt E4B BF16	0K / 15.9 GB	3418	56
...4B It Weight Space Programming	0K / 16 GB	65	3
...otron 3.5 Bolt E4B Artemis FP8	0K / 2 GB	61	3
...Nemotron 3.5 Bolt E4B MLX OQ8e	0K / 8.9 GB	150	1
Vishwamai Stage1	0K / 16 GB	472	0
Lite OmniJev	0K / 32.1 GB	184	1
Gemma4 E4B FACEBOOK E2 BF16	0K / 16 GB	30	0
Gemma4 E4B ASR E2 BF16	0K / 16 GB	30	0

Note: green Score (e.g. "73.2") means that the model is better than google/gemma-4-E4B.