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    MS-MARCO MiniLM-L12 Reranker - High-Accuracy RAG on SageMaker

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    Deployed on AWS
    2.9M monthly downloads. Deeper 12-layer cross-encoder reranker for higher-accuracy RAG. Optimal precision-throughput balance for enterprise search.

    Overview

    MS-MARCO MiniLM-L-12-v2 is the 12-layer variant of the MS-MARCO cross-encoder family with 2.9 million monthly downloads, delivering meaningfully higher reranking accuracy than the L-6 variant at moderate throughput. With 12 transformer layers processing query-document pairs jointly, it captures deeper relevance signals for complex enterprise queries -- technical documentation, legal language, financial terminology, and multi-part questions where shallow models miss nuance. At 134MB it remains fully CPU-native and deployable without GPU infrastructure. Use it when retrieval quality directly affects user outcomes: enterprise knowledge management, compliance document search, and contract review assistance where extra precision justifies slightly higher latency.

    Highlights

    • 12-layer architecture delivers higher reranking precision than L-6 for complex enterprise queries
    • 2.9M monthly downloads; the quality choice when RAG accuracy determines business outcomes
    • 134MB fully CPU-native -- no GPU needed, deploys on ml.m5.xlarge

    Details

    Delivery method

    Latest version

    Deployed on AWS
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    Pricing

    MS-MARCO MiniLM-L12 Reranker - High-Accuracy RAG on SageMaker

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (2)

     Info
    Dimension
    Description
    Cost/host/hour
    ml.m5.xlarge Inference (Real-Time)
    Recommended
    Model inference on the ml.m5.xlarge instance type, real-time mode
    $0.10
    ml.m5.xlarge Inference (Batch)
    Recommended
    Model inference on the ml.m5.xlarge instance type, batch mode
    $0.10

    Vendor refund policy

    No refunds.

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    Usage information

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    Delivery details

    Amazon SageMaker model

    An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.

    Deploy the model on Amazon SageMaker AI using the following options:
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    Initial release

    Additional details

    Inputs

    Summary

    2.9M monthly downloads. Deeper 12-layer cross-encoder reranker for higher-accuracy RAG. Optimal precision-throughput balance for enterprise search.

    Input MIME type
    application/json
    https://waltsoft-marketplace-assets.s3.amazonaws.com/ml-validation/text-sample/sample.jsonl
    https://waltsoft-marketplace-assets.s3.amazonaws.com/ml-validation/text-sample/sample.jsonl

    Support

    Vendor support

    Contact support@waltsoft.net  for deployment assistance.

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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