# Hugging Face — Granite Switch 4.1.1 — Update models like you update software

- Company: Hugging Face (huggingface.co)
- Announced: 2026-10-29T13:37:07+00:00
- Category: model-update
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://huggingface.co/blog/ibm-granite/granite-switch-4-1-1
- Record: https://forck.live/items/29333-granite-switch-4-1-1-update-models-like-you-update-software
- Subject: Platform
- Models affected: Granite Switch 4.1, Granite Switch 4.1.1, Granite Speech ASR

IBM released Granite Switch 4.1.1, a backwards-compatible patch to its modular Switch architecture that updates adapters without retraining the base model. The release follows Granite Switch 4.1, which showed that specialized, cache-efficient adapters can add new expertise to a language model on a single endpoint. The patch updates the Granite Speech ASR model, which now handles multilingual speech-to-text across 10 languages with native punctuation and capitalization, so transcripts are ready for downstream models without a formatting pass. It also updates the Decision adapter in granitelib-core, which IBM says performs better on the Jev Decision Index test set. IBM says nothing was recomputed apart from training the new ASR model and Decision adapter, leaving the base model untouched, so users compose the latest adapters they want and deploy. IBM says it is working on tutorials and an Adapter SDK so developers and third-party providers can build their own adapters, iterate on versions and ship updates the way they ship software.

## Evidence

Verbatim from https://huggingface.co/blog/ibm-granite/granite-switch-4-1-1:

> 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.

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