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IBM Granite Switch 4.1 combines chat, decisions, safety, and speech on one endpoint

Granite Switch 4.1’s 8B and 30B models run chat, decision-making, safety checks, and English speech recognition on one endpoint with a shared KV cache.

2 min readAI RadarSource: IBM Granite / Hugging Face — Granite Switch 4.1 duyurusu
AI Radar cover illustration for IBM Granite Switch 4.1 combines chat, decisions, safety, and speech on one endpoint

AT A GLANCE

Key points

  • The 8B and 30B releases combine chat, decisions, safety, and speech recognition on one endpoint.
  • Activated LoRA adapters reuse the base model’s KV cache.
  • The 8B release offers a 128K-token context window under Apache 2.0.
  • The speech encoder is English-only and is not yet jointly trained with the language model.

What is changing?

The IBM Granite team announced Granite Switch 4.1 in 8B and 30B sizes on October 15. The 8B model combines a Granite 4.1 base with a 128K-token context window, a general-purpose Decision aLoRA, a Guardian safety adapter, and a 470-million-parameter Granite Speech 5.0 TurboCTC encoder in one checkpoint. According to the model card, English speech recognition can be called through the same API without a separate speech server.

Activated LoRA adapters reuse the base model’s KV cache, while the speech encoder is co-located in the same deployment. IBM says the composition uses roughly as much GPU memory as the base model alone. In the official live demo, a single 8B endpoint transcribes speech, names the topic, screens for harmful content, and evaluates user-defined yes-or-no decisions in the same flow.

IBM Granite’s official live demo of Granite Switch 4.1 8B running speech recognition, topic classification, safety screening, and decision adapters on the same endpoint.Source: IBM Granite / Hugging Face

The weights are released under Apache 2.0. The 8B card documents Hugging Face Transformers and vLLM backends, while the launch article also describes llama.cpp support. The speech encoder and language model are not jointly trained, however; speech output is English-only and can be lowercase and unpunctuated. Production teams should independently test routing accuracy, latency, and safety decisions on their own workloads.

Explore the original sources

Source date: 15 October 2026.
Published by AI Radar: 17 Oct 2026, 00:05 (Istanbul, UTC+3).

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