Gemma 4 E2B

About

It is designed to use less memory and battery life while it runs. Google says it puts handling several kinds of input and quick replies ahead of raw size. It follows a video as a series of still frames and takes pictures at varying shapes and sizes.

How it compares

Of the 7 chat models Outmake recommends for an 8 GB Mac, it is the 3rd fastest by Outmake's estimate.

Outmake estimates Qwen3.5 2B writes about 1.4 times as fast, and this model about 1.2 times as fast as Qwen3.5 4B.

Of those 7, it was the 3rd most downloaded on Hugging Face last month, behind Gemma 4 E4B and Qwen3.5 4B.

Limitations

It hears up to 30 seconds of audio and watches up to 60 seconds of video.

What it knows stops in January 2025, and some facts it gives may be wrong.

It may miss sarcasm, subtle nuance or figurative language.

Good to know

The E in E2B stands for effective.

Gemma models have been downloaded over 400 million times, with more than 100,000 community variants.

Sources: google/gemma-4-E2B-it model card, Gemma 4: Our most capable open models to date, Outmake's speed estimates, LM Arena and Hugging Face. Every line comes from one of these.

Run It Anywhere

Gemma 4 E2B is an open model, so any app that runs GGUF files can run it. These take the Q4_K_M size from unsloth straight from Hugging Face.

• LM StudioMac, Windows, LinuxOpen
• JanMac, Windows, LinuxOpen
• MstyMac, Windows, LinuxOpen
• OllamaMac, Windows, Linuxollama run hf.co/unsloth/gemma-4-E2B-it-GGUF:Q4_K_MCopy
• llama.cppMac, Windows, Linuxllama-server -hf unsloth/gemma-4-E2B-it-GGUF:Q4_K_MCopy
• Docker Model RunnerMac, Windows, Linuxdocker model run hf.co/unsloth/gemma-4-E2B-it-GGUF:Q4_K_MCopy