Fine-tuning
Granite 4.1 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
Need small, high‑quality language models that can handle very long texts.
Solution
Created 3B‑30B dense decoder models with a five‑phase pre‑training pipeline, curated data, supervised fine‑tuning using an LLM‑as‑judge, and reinforcement learning to boost math, code, and chat abilities.
8B model matches 32B predecessor
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)