Granite Switch - compose multiple LoRA adapters to one deployable model

Name: Granite Switch - compose multiple LoRA adapters to one deployable model
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Author: bignet

by bignet·May 6, 2026·3 points·0 comments

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AI Analysis

●●●BangerBig BrainSolve My Problem

Composing multiple LoRA adapters into one checkpoint solves the model sprawl nightmare.

Strengths

•Activated LoRA technology enables efficient KV cache reuse across composed adapters.
•Reduces operational overhead by deploying one model instead of many fine-tuned variants.
•Ready-to-use adapter library on Hugging Face accelerates immediate experimentation.

Weaknesses

•Tightly coupled to the Granite model family, limiting broader community adoption.
•vLLM 0.20 support requires CUDA 13, excluding many existing GPU environments.

Post Description

Granite Switch is an open-source IBM Research project for composing several task-specific LoRA adapters into a single deployable Granite model checkpoint.

The idea is to get the accuracy benefits of multiple fine-tuned models without having to deploy and maintain a separate model for every task. It adds control tokens and a small switch layer that decides which adapter weights to apply, so different capabilities can be activated inside one model.

The composed model is designed to work with Hugging Face and vLLM, and the project includes ready-to-use adapters and pre-composed Granite Switch models.

Repo: https://github.com/generative-computing/granite-switch