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

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

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

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

在 Mastodon — fosstodon.org 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

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

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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    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…