Google's Gemma-4-E4B LLM runs locally on Android devices

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 1 source

Google's Gemma-4-E4B, a 4-billion parameter local LLM, can now be run on Android devices without internet connectivity. The model is available through the Edge gallery app and requires a 3.5 GB download. It performs well on older hardware, including an 8-core CPU with 32GB of RAM and a GPU. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Enables on-device AI capabilities for a wider range of mobile applications.

RANK_REASON This is a product release for an existing model on a new platform, not a new model release from a frontier lab.

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Mastodon — fosstodon.org TIER_1 · [email protected] · 2026-05-16 10:47

I've just played with the Google android local # LLM , Gemma-4-E4B, its the same model that the wood folk were losing their chips over a few days ago. First, it

I've just played with the Google android local # LLM , Gemma-4-E4B, its the same model that the wood folk were losing their chips over a few days ago. First, its important to understand it is a fully local model. No internet connectivity is necessary. How to use it: 1. Download E…

COVERAGE [1]

I've just played with the Google android local # LLM , Gemma-4-E4B, its the same model that the wood folk were losing their chips over a few days ago. First, it

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