Sold by: Waltsoft Inc.
Deployed on AWS
MS-MARCO MiniLM-L4 Reranker - Fastest RAG Precision on SageMaker
Overview
Deploy the fastest MS-MARCO MiniLM-L4 cross-encoder on Amazon SageMaker for lightning-fast RAG reranking. At only 23MB - 3x smaller than L6 - it delivers 7.5M monthly downloads worth of production-proven retrieval precision. Ideal for latency-sensitive search, high-throughput document ranking, and mobile-adjacent inference pipelines. Apache-2.0 licensed.
Highlights
- 23MB fastest cross-encoder - 4x smaller than L6, near-L6 precision
- Millions of monthly downloads - battle-tested in production RAG pipelines
- single-digit millisecond reranking on CPU
Details
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Pricing
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Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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 |
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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:
Version release notes
Initial release
Additional details
Inputs
- Summary
MS-MARCO MiniLM-L4 Reranker - Fastest RAG Precision on SageMaker
- 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
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