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IBM's Granite 4.2 introduces a family of Apache 2.0 licensed models that shift focus from instruction-following to explicit reasoning with native tool calling. The 8B and 30B variants specifically incorporate an agentic RL block trained on sandboxed environments for code editing and terminal automation, achieving strong performance on SWE-Bench Verified. These decoder-only architectures offer flexible deployment options ranging from local inference on consumer hardware to enterprise-grade serving, providing a viable open-weight alternative for software engineering and DevOps automation tasks.

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IBM Releases Granite 4.2: Bringing Native Reasoning and Agentic RL to Open Enterprise Models

MarkTechPostAugust 26, 20265 min read

IBM has released Granite 4.2, a family of open reasoning language models in 3B, 8B, and 30B sizes, all under Apache 2.0. Every model exposes a thinking / low-effort / non-thinking switch and native tool calling. The 8B and 30B additionally go through an agentic RL block that trains them to edit code, drive a terminal, and run web searches inside real sandboxed environments. The 30B reports 57.00 on SWE-Bench Verified and 29.24 on Terminal-Bench 2.1. The post IBM Releases Granite 4.2: Bringing Native Reasoning and Agentic RL to Open Enterprise Models appeared first on MarkTechPost.

IBM has released Granite 4.2, a family of open reasoning language models in 3B, 8B, and 30B parameter sizes. Unlike earlier Granite releases, which were instruction-following assistants, Granite 4.2 is built around explicit reasoning. Every model can emit a chain of thought before answering, and every model exposes a thinking / non-thinking switch plus a low-effort mode that spends a short reasoning budget on easy questions. The models are decoder-only dense transformers, pre-trained from scratch on roughly 15…

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