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 Foundation models & chat category. It focuses on deploying a very large instruction-tuned language model with reduced memory footprint through quantization. It is built as an open-source project for AI developers and researchers. Gemma 4 31B It Qat W4a16 is open source under the Open Source license. It runs on the web, the command line, and API.
unsloth builds and maintains Gemma 4 31B It Qat W4a16. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include quantized weights, instruction tuned, and large language model.
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