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.
In the Foundation models & chat space, Gemma 4 E4B It takes a focused approach. 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 runs on the web, the command line, and API.
Behind Gemma 4 E4B It is cyankiwi, and the product first shipped in 2025. It competes in a saturated segment with 25 similar apps in PulseGate's index. Among its 4 catalogued features are AWQ Quantization, INT4 Precision, and Chat Template.
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cyankiwi/gemma-4-E4B-it-AWQ-INT4 verified by the PulseGate indexer
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