NEWVectors or files. Pick a path.Start →
    Models/Image Text To Text/ISTA-DASLab/gemma-3-27b-it-GPTQ-4b-128g
    Image Text To Texttransformersgemma

    gemma-3-27b-it-GPTQ-4b-128g

    by ISTA-DASLab

    179Kdl/month
    45likes
    Identifier
    Model ID
    ISTA-DASLab/gemma-3-27b-it-GPTQ-4b-128g

    Tags

    transformerssafetensorsgemma3image-text-to-textint4vllmllmcompressorconversationalbase_model:google/gemma-3-27b-itbase_model:quantized:google/gemma-3-27b-itlicense:gemmatext-generation-inferenceendpoints_compatiblecompressed-tensorsregion:us

    Use gemma-3-27b-it-GPTQ-4b-128g 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-3-27b-it-GPTQ-4b-128g runs as a managed extractor inside a processing pipeline. Point a bucket of image text to text 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.