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AWS shows how to deploy decision models with llama.cpp on SageMaker AI

AWS published a tutorial on deploying decision models using llama.cpp on Amazon SageMaker AI. The post demonstrates two deployment paths from the same GGUF model: a standard text-generation path serving OpenAI-compatible chat completions, and a structured-decision path using a SemIf adapter that returns probabilities over declared options instead of generated text. The structured-decision path…

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Key points

  • AWS tutorial deploys llama.cpp decision models on SageMaker AI with two paths
  • SemIf adapter returns option probabilities instead of generated text

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  1. AWS shows how to deploy decision models with llama.cpp on SageMaker AIthis story
Full story from AWS Machine Learning Blog · by Jyothirmai Kottu primary sourceOpen source ↗

Deploy decision models with llama.cpp on Amazon SageMaker AI

AWS Machine Learning Blog · 12 October 2026

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This text was published by AWS Machine Learning Blog and written by Jyothirmai Kottu. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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