IBM details the full pipeline behind Granite 4.2, from pre-training to agentic RL

Granite 4.2 LLMs: How They're Built

IBM published a technical walkthrough of the Granite 4.2 model family on the Hugging Face blog. It covers architecture, pre-training, SFT data quality control, and a multi-stage RL pipeline. The RL curriculum has three phases: foundational skills, agentic RL for tool use on the 8B and 30B models, and RLHF alignment. The post also mentions FP8, FP4, and GGUF quantization. Specific benchmark scores and hardware details are not included in the provided excerpt.

Why it matters: A solid training pipeline breakdown with strong H and K, but Granite's limited community pull drags down R. The post doesn't disclose pretraining data or hardware specs, so it can't push past 78. Featured because the engineering detail is real — model trainers will bookmark this.