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Granite Switch 4.1.1 — Update models like you update software

AI 摘要

Granite Switch 4.1.1 is a patch release, fully backwards compatible with version 4.1, offering incremental improvements. This update builds on the modular Switch architecture, which allows for configuring language models with specialized, cache-efficient adapters to add new expertise on a single endpoint. Users are encouraged to test the latest models and explore new multilingual and punctuation capabilities, as demonstrated in the Speech-to-Decisions demo.

时间与来源

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发布当时偏移:UTC+02026年10月29日 13:37 UTC

收录当时偏移:UTC+02026年10月29日 14:01 UTC

发布
2026年10月29日 13:37
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2026年10月29日 14:01
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Just over a week ago, we released Granite Switch 4.1 , showing that our modular Switch architecture lets you configure a language model with specialized, cache-efficient adapters — adding new expertise on a single endpoint.

Granite Switch 4.1.1 is a patch release. The version number means what it means in software: fully backwards compatible with 4.1, no migration, incremental improvements under the hood.

- Updated Granite Speech ASR model — multilingual speech-to-text across 10 languages with native punctuation and capitalization, so transcripts are ready for downstream models without a formatting pass.

- Updated Decision adapter in granitelib-core — featuring improved overall performance on the Jev Decision Index test set.

While we are excited about these new features, what is notable is the speed and efficiency with which our teams could release this update. Apart from training the new ASR model and Decision adapter, nothing was recomputed: the base model is untouched. You compose the latest adapters you want and deploy.

This pattern can power far more than patch releases to an IBM-provided model. We're working on tutorials and an Adapter SDK so developers and third-party providers can build their own adapters — iterate on versions, test features, and ship updates the way you ship software. More soon.

Until then, test out our latest models , and try out the new multilingual and punctuation capabilities powering our Speech-to-Decisions demo.