Granite 4.1
AssessPlatforms
IBM’s family of dense decoder-only large language models.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by model releases, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 7Hugging Face Blog·4/29/2026model_releaseGranite 4.1 LLMs: How They Are Built
IBM’s Granite Team details how Granite 4.1 was trained, from data engineering through supervised fine-tuning and reinforcement learning. The family includes dense decoder-only models in 3B, 8B, and 30B sizes, trained on about 15 trillion tokens and extended to a 512K context window, with the 8B instruct model reportedly matching or exceeding the prior Granite 4.0-H-Small despite using fewer parameters.