I put Gemma 4 E4B and E2B into an e-reader so I can ask my weird questions and share my thoughts in private directly in app.

Here's how it works in the app: Framework: Runs on LiteRT-LM (like Google's AI Edge). Models: Downloads either the E2B (~2.5 GB) or E4B (~3.6 GB) INT4 quantized models directly from ungated litert-community repos without API keys, tokens, or accounts. Execution & Memory: Defaults to GPU execu

中文全文翻译正在补齐，可先查看下方英文原文。

Here's how it works in the app: Framework: Runs on LiteRT-LM (like Google's AI Edge). Models: Downloads either the E2B (~2.5 GB) or E4B (~3.6 GB) INT4 quantized models directly from ungated litert-community repos without API keys, tokens, or accounts. Execution & Memory: Defaults to GPU execu