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    Models/Image Text To Text/abhishekchohan/gemma-3-12b-it-quantized-W4A16
    Image Text To Texttransformersgemma

    gemma-3-12b-it-quantized-W4A16

    by abhishekchohan

    224Kdl/month
    7likes
    Identifier
    Model ID
    abhishekchohan/gemma-3-12b-it-quantized-W4A16

    Tags

    transformerssafetensorsgemma3image-text-to-textconversationalbase_model:google/gemma-3-12b-itbase_model:quantized:google/gemma-3-12b-itlicense:gemmatext-generation-inferenceendpoints_compatiblecompressed-tensorsregion:us

    Use gemma-3-12b-it-quantized-W4A16 on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, gemma-3-12b-it-quantized-W4A16 runs as a managed extractor inside a processing pipeline. Point a bucket of image text to text data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.