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As reported by VentureBeat, on October 29, 2025, IBM rolled out four brand - new Granite 4.0 Nano models. These models boast parameter sizes that span from a mere 350 million to 1.5 billion. In stark contrast, they are considerably smaller compared to similar server - centric models offered by vendors such as OpenAI, Anthropic, and Google. This particular series of models is highly accessible. The version with 350 million parameters can operate seamlessly on the CPUs of modern laptops that are equipped with 8 - 16GB of memory. On the other hand, the model with 1.5 billion parameters usually necessitates a GPU with a minimum of 6 - 8GB of VRAM. Alternatively, it can also function through pure CPU inference, provided there is sufficient system memory and swap space.
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