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    Models/Zero Shot Classification/smartytrios/docintel_ocr_llama_3_2_gguf

    docintel_ocr_llama_3_2_gguf

    by smartytrios

    Identifier
    Model ID
    smartytrios/docintel_ocr_llama_3_2_gguf

    Tags

    ggufllamallama.cppunslothzero-shot-classificationendataset:smartytrios/document_data_extractorbase_model:unsloth/Llama-3.2-1B-Instruct-bnb-4bitbase_model:quantized:unsloth/Llama-3.2-1B-Instruct-bnb-4bitlicense:mitendpoints_compatibleregion:usconversational

    Use docintel_ocr_llama_3_2_gguf on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, docintel_ocr_llama_3_2_gguf runs as a managed extractor inside a processing pipeline. Point a bucket of zero shot classification 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.