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    Models/Document Question Answering/zpm/Llama-3.1-PersianQA
    Document Question Answeringtransformersapache-2.0

    Llama-3.1-PersianQA

    by zpm

    533dl/month
    21likes
    Identifier
    Model ID
    zpm/Llama-3.1-PersianQA

    Tags

    transformerssafetensorsggufllamatext-generation-inferencetrlQAdocument-question-answeringenfalicense:apache-2.0endpoints_compatibleregion:us

    Use Llama-3.1-PersianQA 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, Llama-3.1-PersianQA 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.