Model Detail
gemma-3-12b-it-qat-q4_0-unquantized
—gemma-3-12b-it-qat-q4_0-unquantized is a multimodal model with 12B parameters released by Google. The model is registered under the image-text-to-text pipeline tag on Hugging Face, released under the gemma license.
gemma-3-12b-it-qat-q4_0-unquantized ships with 12B parameters, distributed as a quantized weight variant for lower-VRAM inference. Total weight footprint is approximately 12.2 GB, which is the relevant figure when planning local-inference VRAM. Access is gated on Hugging Face under the gemma license, which means a manual approval step before weights can be downloaded.
gemma-3-12b-it-qat-q4_0-unquantized is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
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