An AWQ 8-bit quantized version of the 31B parameter Gemma 4 instruct-tuned model. It is designed for efficient inference on consumer or enterprise hardware while maintaining performance. The model is available on Hugging Face and supports standard LLM inference workflows.
Gemma 4 31B It is a Foundation models & chat product. It focuses on running large Gemma 4 language models with reduced memory requirements through quantization. It is built as an open-source project for machine learning developers. Gemma 4 31B It is open source under the Open Source license. It runs on the web, the command line, and API.
It is developed by cyankiwi, and the product first shipped in 2025. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include quantized weights, AWQ 8-bit, and instruct model.
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