Agents / Google DeepMind

Gemma 4 · E4B

A smaller on-device Gemma model for reasoning, coding, and text, image, and audio understanding.

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 89 out of 100. 4,193,163 downloads in 30 days; 1,721 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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At a glance

Parameters
8B total
Architecture
Dense multimodal
Context length
128,000
License
Apache 2.0
Disk space
9.6 GB
Software
Ollama, MLX, Transformers
View the model source
MY HARDWARE

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Ways to run it

Ollama · Windows, macOS, Linux

Ollama lists a 9.6 GB package. Image or audio input needs separate memory validation.

ollama run gemma4:e4b
Official instructions

MLX · macOS

ollama run gemma4:e4b-mlx
Official instructions

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AGENTSREASONINGCODINGMULTIMODAL

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Gemma 4 · E4B: hardware, VRAM & setup | YouRunAI