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    Models/Translation/mijuanlo/nllb-200-distilled-600M-ct2-int8
    Translationcc-by-nc-4.0

    nllb-200-distilled-600M-ct2-int8

    by mijuanlo

    Identifier
    Model ID
    mijuanlo/nllb-200-distilled-600M-ct2-int8

    Tags

    m2m_100ctranslate2int8nllbtranslationmachine-translationaceacmacqaebafajpakalsamapcararsaryarzasastawaayrazbazjbabmbanbe

    Use nllb-200-distilled-600M-ct2-int8 on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, nllb-200-distilled-600M-ct2-int8 runs as a managed extractor inside a processing pipeline. Point a bucket of translation 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.