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    Models/Document Question Answering/2KKLabs/Kaleidoscope_large_v1
    Document Question Answeringtransformerscc-by-nc-4.0

    Kaleidoscope_large_v1

    by 2KKLabs

    Identifier
    Model ID
    2KKLabs/Kaleidoscope_large_v1

    Tags

    transformerssafetensorsbertquestion-answeringDocumentQAQuestionAnsweringNLPDeepLearningTransformersMultimodalHuggingFaceruBertMachineLearningDeepQAAIForDocsDocsNeuralNetworkstorchpytorchlargetext-generation-inferencedocument-question-answeringruenbase_model:ai-forever/ruBert-largebase_model:finetune:ai-forever/ruBert-largelicense:cc-by-nc-4.0endpoints_compatibleregion:us

    Use Kaleidoscope_large_v1 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, Kaleidoscope_large_v1 runs as a managed extractor inside a processing pipeline. Point a bucket of document question answering 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.