NEWVectors or files. Pick a path.Start →
    Models/Any To Any/lube8163/gemma-4-12b-coreml-iphone-practical-chat
    Any To Anycoremlapache-2.0

    gemma-4-12b-coreml-iphone-practical-chat

    by lube8163

    Identifier
    Model ID
    lube8163/gemma-4-12b-coreml-iphone-practical-chat

    Tags

    coremliosiphonegemmamultimodaltext-generationany-to-anybase_model:google/gemma-4-12B-it-qat-q4_0-unquantizedbase_model:quantized:google/gemma-4-12B-it-qat-q4_0-unquantizedlicense:apache-2.0region:us

    Use gemma-4-12b-coreml-iphone-practical-chat 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-4-12b-coreml-iphone-practical-chat 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.