Language model · Aug 25, 2026
Granite 4.2 30B receives a second supervised fine-tuning phase specifically for agentic coding. IBM increases the share of code and software-engineering data while retaining part of the original training mix. Like 8B, it then completes the agent block for software, terminal, and search tasks.
Language model · Aug 25, 2026
Granite 4.2 3B follows a shorter training schedule than 8B and 30B in IBM’s new series. The compact version receives reasoning and coding training but skips their additional agent block covering software, terminal, and search tasks.
Language model · Aug 25, 2026
For Granite 4.2 8B, IBM adds agent tasks in real coding, terminal, and search environments to foundational training. This block distinguishes 8B from Granite 4.2 3B. It trains multi-step tool use against the task’s actual outcome.
Audio model · Aug 25, 2026
Granite Speech 5.0 470M TurboCTC is a 470-million-parameter model for English speech recognition. Its Conformer architecture uses non-autoregressive CTC decoding and targets edge devices, laptops, and mobile hardware.
Audio model · Aug 25, 2026
Granite Speech 5.0 470M TurboCTC NC uses the same 470-million-parameter class and CTC-oriented Conformer architecture as the commercially usable Granite checkpoint. It targets English audio-to-text recognition on modest hardware.
Language model · Apr 29, 2026
Granite 4.1 8B remains a dense 8B transformer despite its 131,072-token context. IBM documents fill-in-the-middle and lists twelve supported languages including German, English, French, Japanese, and Chinese.
Language model · Oct 2, 2025
Granite 4.0 H Micro combines only four attention layers with 36 Mamba 2 layers. The 3B open-weight model still offers a 131,072-token context, twelve supported languages, and tool calls.
Language model · Oct 2, 2025
Granite-4.0-H-Small combines a hybrid 32-billion-parameter architecture with about 9 billion active and up to 128K context. IBM documents fill-in-the-middle and lists twelve supported languages, including German. The open weights use Apache 2.0.
Language model · May 2024
Granite Code 34B is IBM’s instruction-tuned code checkpoint for programming tasks, logical reasoning, and coding assistants. Its model card describes fine-tuning on permissive instruction data covering code, mathematics, function calling, and general instructions. With 34 billion parameters and an 8,192-token context, it is a focused code specialist rather than a universal long-context chatbot.