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    Models/Any To Any/google/gemma-4-E2B-it-qat-mobile-transformers
    Any To Anytransformersapache-2.0

    gemma-4-E2B-it-qat-mobile-transformers

    by google

    11Kdl/month
    59likes
    Identifier
    Model ID
    google/gemma-4-E2B-it-qat-mobile-transformers

    Tags

    transformerssafetensorsgemma4any-to-anybase_model:google/gemma-4-E2B-itbase_model:quantized:google/gemma-4-E2B-itlicense:apache-2.0endpoints_compatible8-bitgemmaregion:us

    Use gemma-4-E2B-it-qat-mobile-transformers 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-E2B-it-qat-mobile-transformers 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.