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IBM Unveils Granite 4.0: Open-Source Language Model for Enterprise Tasks

IBM's Granite 4.0 reduces RAM usage by 70% with its innovative hybrid architecture. It's open-source and ready to integrate into enterprise tools.

In this image I can see the system on the glass table. In-front of the system I can see the board....
In this image I can see the system on the glass table. In-front of the system I can see the board. I can see some pamphlets on the CPU. And there is wooden floor at the bottom.

IBM Unveils Granite 4.0: Open-Source Language Model for Enterprise Tasks

IBM has unveiled Granite 4.0, the latest iteration of its language models, designed to enhance enterprise tasks and agentive workflows. This new version combines Mamba and Transformer layers in a 9:1 ratio, significantly reducing RAM usage.

Granite 4.0 is built on a hybrid architecture that merges Mamba-2 and Transformer layers, with nine parts Mamba and one part Transformer. This design allows for up to 70 percent less RAM usage compared to pure Transformer models, as reported by IBM. The models are released open-source under Apache 2.0, cryptographically signed, and accredited to ISO/IEC 42001:2023.

IBM positions Granite 4.0 as modular components for agentive workflows and standalone models for enterprise tasks. The service provider for integrating Granite 4.0 into tools like Unsloth and Continue is IBM Consulting. They offer these models and support integration and automation solutions for enterprise workflows.

Granite 4.0 is trained on a 22T-token corpus compiled from various enterprise-relevant sources. It includes four model variants: Granite-4.0-H-Small, Granite-4.0-H-Tiny, Granite-4.0-H-Micro, and Granite-4.0-Micro. IBM grants an unlimited waiver for third-party IP claims for content generated by Granite on IBM watsonx.ai, ensuring users can safely utilise these models.

IBM's Granite 4.0, with its innovative hybrid architecture and enterprise-appropriate training data, promises to streamline tasks and workflows in business environments. Its open-source availability and integration support from IBM Consulting make it an attractive option for enterprises looking to leverage advanced language models.

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