This repository provides GGUF quantized weights for the Gemma-4-E2B instruction-tuned model, optimized by Unsloth for efficient local inference. It is compatible with llama.cpp, Ollama, and other GGUF-compatible runtimes.
Gemma 4 E2B It is a Foundation models & chat project. It focuses on running the Gemma 4 model efficiently on consumer hardware with reduced memory usage. It is built as an open-source project for developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Unsloth builds and maintains Gemma 4 E2B It, and it first shipped in 2023. Development happens publicly on GitHub with 68.4k stars and 1.2k commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable projects. Among its 3 catalogued features are Quantized Model, GGUF Format, and Instruction Tuned.
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