Chemistry Bench

connecting…

A language model that has read 20 million short chemistry records. Give it the start of a record, a structure or a set of reactants, and it writes the rest several times over. Each answer starts with a plain account of what it wrote and how far to trust it. for what the model read, what every field means and how it scored.

The model writes the rest of the record it thinks this structure belongs to, once per version. Versions may choose different kinds of record, which is how it shows what it is unsure about. Randomness 1.0 is what the scored reading used; lower values show its single most likely record.

Examples come from data held out of training, with their measured or calculated values, which appear beside the model's answer.

Paste a structure, or pick a held-out example to compare the model with a known value.