IBM's new Granite 4.2 models ride the wave of interest in local LLMs
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IBM发布了新的Granite 4.2模型，提供3B、8B和30B参数版本，旨在支持本地下载和自托管。这些模型采用纯解码器架构，并原生支持128,000个token的上下文窗口。其中，8B和30B版本（不包括3B版本）经过了代理强化学习训练，以增强其使用终端、搜索网络或利用外部工具等能力。3B模型也支持工具，但未经过同等水平的专业训练。…
IBM has rolled out the newest models in its family of open-weight large language models designed to be downloaded and self-hosted. The newly launched Granite 4.2 comes in 3B, 8B, and 30B parameter variants.
Like previous versions, IBM is taking a decoder-only approach here. These new releases offer a 128,000-token context window natively. The 8B and 30B variants (not the 3B one) also go through an agentic reinforcement-learning block; they were trained for expanded capabilities like using the terminal, searching the web, or using external tools. The 3B model supports tools too, but without the same level of specialized training.
Beyond those tweaks, this release is particularly notable because, as IBM itself writes, “Granite 4.2 is the reasoning-focused release of the Granite language-model family.”
When researchers or developers in the field say a model is capable of reasoning, they do not mean it in the same sense as we often assume when talking about human reasoning; the models are not consciously understanding the problem. Instead, they’re talking about functional reasoning, in particular via “chain-of-thought” and carrying intermediate results forward through multiple steps.