This Hugging Face repository provides a GGUF-format quantized Gemma 4 E4B instruction-tuned language model for local inference. It is intended for developers and machine learning practitioners using compatible runtimes such as llama.cpp.
Gemma 4 E4B It sits in PulseGate's Foundation models & chat category. It focuses on running a Gemma language model locally in a compact GGUF format. It is built as an open-source project for developers and machine learning practitioners. The project is open source (Open Source). Gemma 4 E4B It is available on the command line, and it can be self-hosted.
Behind Gemma 4 E4B It is ggml-org, and it first shipped in 2026. Development happens publicly on GitHub with 30 stars and 136 commits in the last 90 days. It competes in a saturated segment with 25 similar projects in PulseGate's index. Among its 5 catalogued features are GGUF format, quantized weights, and instruction tuning.
Summary written by a language model from the project’s public pages.
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