LLM products
Granite 4.2 LLMs: How They're Built
Our short summary of Hugging Face’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on huggingface.co (opens in a new tab)Problem
We needed a language model that could reason step‑by‑step and use external tools when needed.
Solution
We built Granite 4.2 by pre‑training a dense decoder, fine‑tuning on chain‑of‑thought data, then applying multi‑stage reinforcement learning that teaches tool use and reasoning, releasing 3 B, 8 B, and 30 B versions.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on huggingface.co (opens in a new tab)