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.
In the Foundation models & chat space, Gemma 4 E2B It takes a focused approach. It focuses on running the Gemma 4 model efficiently on consumer hardware with reduced memory usage. Gemma 4 E2B It is an open-source project aimed at developers. The project is open source (Apache-2.0). Gemma 4 E2B It is available on the web, the command line, and API.
Behind Gemma 4 E2B It is Unsloth, and the product first shipped in 2023. The project is developed in the open on GitHub with 68.4k stars and 1.2k commits in the last 90 days. It competes in a saturated segment with 25 similar apps in PulseGate's index. Among its 3 catalogued features are Quantized Model, GGUF Format, and Instruction Tuned.
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