Agents / Google DeepMind

Gemma 4 · E2B

The smallest Gemma 4 variant, built for local assistants with text, image, and audio input.

Verified sourceReleased Apr 2, 2026Source checked 9/23/2026

LOCALRENTED GPUOPEN WEIGHTS

Freshness 47 out of 100. Release age: 196 days old, Apr 2, 2026. Measures age, not quality.

Popularity 86 out of 100. 2,974,727 downloads in 30 days; 1,044 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.

What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source

Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source

Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method

WORKFLOWS FOR THIS MODEL 1

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Set up private Gemma 4 chat

Choose official QAT packages for Gemma 4 E2B, E4B, or 12B, or a clearly marked community abliterated E4B package; follow Mac, Windows, or Linux instructions for your choice.

Freshness 47 out of 100. Release age: 196 days old, Apr 2, 2026. Measures age, not quality.

Ollama

1 packagemacOS / Windows / Linux

Opens with Gemma 4 E2B · QATOpen chat guide

Open a guide for its software, hardware requirements, and setup steps.

At a glance

Parameters: 5.1B total
Architecture: Dense multimodal
Context length: 128,000
License: Apache 2.0
Disk space: 7.2 GB
Software: Ollama, MLX, Transformers

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MY HARDWARE

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Ways to run it

Ollama · Windows, macOS, Linux

Ollama lists a 7.2 GB package. Image or audio input needs separate memory validation.

ollama run gemma4:e2b

Official instructions

MLX · macOS

ollama run gemma4:e2b-mlx

Official instructions

Explore its uses

AGENTSREASONINGMULTIMODAL

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Freshness 62 out of 100. Repository age: 124 days old, Jun 13, 2026. Measures age, not quality.

Arena Open Source Agents: rank 7 of 18. Ranked model: Kimi K3 (Max). Export dated Oct 14, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.+2

MODEL SIZE2.8T total · 104B active

LOCALRENTED GPU

Repository opened Jun 13, 2026

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