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    Models/Image Text To Text/HauhauCS/Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-MTP

    Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-MTP

    by HauhauCS

    126Kdl/month
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    Identifier
    Model ID
    HauhauCS/Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-MTP

    Tags

    ggufuncensoredgemma4moevisionmultimodalagenticcodingcreative-writingroleplayrpconversationalimage-text-to-textenbase_model:google/gemma-4-26B-A4B-itbase_model:quantized:google/gemma-4-26B-A4B-itlicense:gemmaendpoints_compatibleregion:us

    Use Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-MTP 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, Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-MTP 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.