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    Models/Any To Any/xv0y5ncu/gemma-4-E4B-it-GLQ-trellis-3inst-4bpw
    Any To Anytransformersapache-2.0

    gemma-4-E4B-it-GLQ-trellis-3inst-4bpw

    by xv0y5ncu

    Identifier
    Model ID
    xv0y5ncu/gemma-4-E4B-it-GLQ-trellis-3inst-4bpw

    Deploy gemma-4-E4B-it-GLQ-trellis-3inst-4bpw

    Single-tenant

    Mixpeek has no managed extractor for this model. On a single-tenant deployment you upload the weights and a custom plugin serves them next to the rest of your pipeline.

    Tags

    transformerssafetensorsgemma4image-text-to-textglqquantizationtrellistcqany-to-anyarxiv:2406.11235arxiv:2607.02770base_model:google/gemma-4-E4B-itbase_model:quantized:google/gemma-4-E4B-itlicense:apache-2.0endpoints_compatibleregion:us

    Use gemma-4-E4B-it-GLQ-trellis-3inst-4bpw 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-E4B-it-GLQ-trellis-3inst-4bpw 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.