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    Models/Any To Any/inferencerlabs/gemma-4-E2B-MLX-9bit

    gemma-4-E2B-MLX-9bit

    by inferencerlabs

    Identifier
    Model ID
    inferencerlabs/gemma-4-E2B-MLX-9bit

    Tags

    mlxsafetensorsgemma4quantizedany-to-anyenbase_model:google/gemma-4-E2B-itbase_model:quantized:google/gemma-4-E2B-it8-bitregion:us

    Use gemma-4-E2B-MLX-9bit 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-MLX-9bit 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.