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    Models/Any To Any/dahara1/gemma-4-12B-it-qat-UD-japanese-imatrix
    Any To Anyapache-2.0

    gemma-4-12B-it-qat-UD-japanese-imatrix

    by dahara1

    Identifier
    Model ID
    dahara1/gemma-4-12B-it-qat-UD-japanese-imatrix

    Tags

    ggufjapanesellama.cppgemma4MTPunslothany-to-anyjaenbase_model:google/gemma-4-12B-it-qat-q4_0-unquantizedbase_model:quantized:google/gemma-4-12B-it-qat-q4_0-unquantizedlicense:apache-2.0endpoints_compatibleregion:usimatrixconversational

    Use gemma-4-12B-it-qat-UD-japanese-imatrix on Mixpeek

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

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    How It Runs on Mixpeek

    On Mixpeek, gemma-4-12B-it-qat-UD-japanese-imatrix runs as a managed extractor inside a processing pipeline. Point a bucket of any to any 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.