Gemma 4 E4B

Google DeepMind

Free

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MLX Score3.1

PriceFreeno paid plan

RunsOn your Mac

DeveloperGoogle DeepMind

LicenceOpenApache-2.0

CategoryModels

Mac14.0+macOS or later

Gemma 4 E4B is one of the small models in Google DeepMind's Gemma 4 family, a family Google says ranges from high-end phones to servers. It takes text, images and audio and writes text, with a 128K-token context and support for over 140 languages.

A 4-bit MLX build is about 5 GB; on mlx.app's estimate it fits a Mac with 8 GB of memory.

Open weights under Apache 2.0. Run locally, nothing leaves your Mac.

How to Get It

Run it on your MacSee how

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Official downloads only. MLX never re-hosts an app, and never runs a command for you.

MLX Score

3.1out of 5

Hugging Face downloads and likesahead of 53%

Hugging Face: 4,128,512 downloads (30 days), 1,821 likes · read 2026-11-02

Ranked against the open models listings, from real public data only. How the score works.

Information

Developer: Google DeepMind
Category: Open models
Price: Free (Open weights, free to download.)
Your data: Runs on your Mac
Licence: Apache-2.0
Mac: macOS 14.0 or later
iPhone and iPad: —
Needs: 8 GB memory
Links: Website · Hugging Face
Facts checked: 2026-11-01

Sources

huggingface.co/google/gemma-4-E4B-it · Apache-2.0, small model with audio, text and image input, 128K context · checked 2026-11-01huggingface.co/mlx-community/gemma-4-e4b-it-4bit · 4-bit MLX build (about 5 GB) · checked 2026-11-01ml-explore.github.io/mlx/build/html/install.html · macOS 14.0 minimum (MLX needs Apple silicon and macOS 14.0+) · checked 2026-11-01mlx.app/run/gemma-4-e4b · memory: smallest Mac (8 GB) where the 4-bit MLX build fits with room for context, from lib/compare (75% of unified memory usable) · checked 2026-11-01Icon from Hugging Face

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