This is an AWQ INT4 quantized version of the Gemma 4 E4B instruct-tuned model. It is designed for efficient local inference while maintaining performance. The model can be used with the Hugging Face Transformers library and includes a chat template for conversational use.
Gemma 4 E4B It is a Text generation project. It focuses on running large language models with reduced memory requirements on consumer hardware. Gemma 4 E4B It is an open-source project aimed at developers and researchers. The project is open source (Open Source). It ships for the web, the command line, and API.
Behind Gemma 4 E4B It is cyankiwi, and it first shipped in 2025. The category is crowded — PulseGate's index counts 25 comparable projects. Key capabilities include AWQ Quantization, INT4 Precision, and Chat Template.
Summary written by a language model from the project’s public pages.
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