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IBM drops open-weight Granite 4.2 family with built-in agentic capabilities under Apache 2.0

IBM drops Granite 4.2 open-weight models with native agentic RL — 512K context, Apache 2.0, no proprietary tax.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

IBM's open-weight Granite 4.2 family introduces agentic reinforcement learning capabilities directly in the base models at accessible sizes (3B-30B), lowering the barrier for practitioners to deploy autonomous tool-use behavior without proprietary model licensing. The 512K context window and Apache 2.0 terms make this a notable entry in the open-weight capability race.

The key facts

6 to know
  1. Three model sizes: 3B, 8B, 30B

  2. 15 trillion tokens training data

  3. 512,000 token context window

  4. Agentic RL training for tool use and code execution

  5. Apache 2.0 license (permissive open-weight)

  6. Released by IBM

Go to the source

The Decoderthe-decoder.com

Publisher excerpt: IBM is releasing its Granite 4.2 language models in 3B, 8B, and 30B sizes, trained on about 15 trillion tokens with a context window of up to 512,000 tokens. The larger models use "agentic RL" training to learn tool use and code execution on their own. All models are available under the Apache 2.0…
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