This repository hosts a QAT (Quantization-Aware Trained) 4-bit weights, 16-bit activations version of the Gemma-4 31B instruction-tuned model. It allows users to run this large model more efficiently on available hardware. The model is compatible with the Hugging Face ecosystem and Unsloth tools.
Gemma 4 31B It Qat W4a16 sits in PulseGate's Text generation category. It focuses on deploying a very large instruction-tuned language model with reduced memory footprint through quantization. Gemma 4 31B It Qat W4a16 is an open-source project aimed at AI developers and researchers. Gemma 4 31B It Qat W4a16 is open source under the Open Source license. It ships for the web, the command line, and API.
It is developed by unsloth. The category is crowded — PulseGate's index counts 25 comparable projects. Key capabilities include quantized weights, instruction tuned, and large language model.
Summary written by a language model from the project’s public pages.
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