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    Models/Text Generation/hugging-quants/gemma-2-9b-it-AWQ-INT4
    Text Generationtransformersgemma

    gemma-2-9b-it-AWQ-INT4

    by hugging-quants

    256Kdl/month
    9likes
    Identifier
    Model ID
    hugging-quants/gemma-2-9b-it-AWQ-INT4

    Tags

    transformerssafetensorsgemma2text-generationgoogleautoawqconversationalenbase_model:google/gemma-2-9b-itbase_model:quantized:google/gemma-2-9b-itlicense:gemmatext-generation-inferenceendpoints_compatible4-bitawqregion:usdeploy:azure

    Use gemma-2-9b-it-AWQ-INT4 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-2-9b-it-AWQ-INT4 runs as a managed extractor inside a processing pipeline. Point a bucket of text generation 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.