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Granite Switch 4.1 8B

LLMs#13AI Models & LLMsOpen source · Web

Granite Switch 4.1 8B is a modular LLM that integrates a base model, multiple adapters, and an encoder to provide natural-language responses, decision-making, and speech-to-text capabilities from a single endpoint.

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Granite Switch 4.1 8B screenshot
Granite Switch 4.1 8B screenshot

Granite Switch 4.1 8B is a sophisticated large language model designed to handle a variety of tasks through a modular approach. It combines a base model with multiple adapters and an encoder, allowing it to seamlessly transition between natural-language processing, decision-making, and speech-to-text functionalities. This model is particularly notable for its ability to activate adapters on demand using control tokens, which are embedded within the chat template.

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The base model, ibm-granite/granite-4.1-8b, features 8 billion parameters and a context length of 128K tokens. It supports multiple languages, including English, German, Spanish, French, Japanese, and more. The model's architecture is a dense decoder-only transformer, incorporating advanced techniques such as GQA, RoPE, SwiGLU, and RMSNorm.

Granite Switch 4.1 8B includes two primary adapters: the decision aLoRA adapter, which provides general-purpose decision-making capabilities, and the guardian-core aLoRA adapter, which detects safety risks such as harm, profanity, and social bias. Additionally, the model features an embedded speech-to-text capability via the Granite Speech 5.0 TurboCTC encoder, which is optimized for fast transcription tasks.

The model is designed to be flexible and efficient, with a single hosted endpoint that supports chat, decision-making, and audio transcription without the need for separate servers. It is licensed under Apache 2.0, ensuring open access and modification rights. The model is compatible with HuggingFace Transformers and vLLM backends, making it accessible for a wide range of applications.

Granite Switch 4.1 8B is ideal for developers and researchers looking for a versatile LLM that can handle complex tasks across different domains. Its modular design and open-source nature make it a valuable tool for advancing AI research and applications.

  • CategoryAI Models & LLMs
  • Pricing ModelOpen source
  • DeploymentCloud
  • PlatformsWeb

  • Modular LLM architecture

  • Base model with 8 billion parameters

  • Supports multiple languages

  • Decision-making adapter

  • Safety detection adapter

  • Embedded speech-to-text encoder

  • Control token activation

  • Apache 2.0 license

  1. Access model page: Visit the Hugging Face model page

  2. Authenticate: Ensure you have access credentials

  3. Configure: Set up the model with desired adapters

  4. Send prompts: Use the chat template to interact

  5. Fine-tune: Adjust model parameters as needed

  • Multilingual Chat
  • Decision Support
  • Speech Transcription
  • Safety Monitoring
  • AI Research

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