Granite 4.2 LLMs: How They're Built
SMRTR summary
IBM released Granite 4.2, its first reasoning-focused language model family, in three sizes (3B, 8B, and 30B). Each model is pre-trained on 15 trillion tokens, fine-tuned on reasoning data, and then trained further using reinforcement learning. The larger 8B and 30B models can use tools, write code, and browse the web inside real environments.
SMRTR provides this summary for quick context. The original article belongs to Hugging Face Blog.
Read the original article