2.6B LFM model trained in Liquid AI's MMAIGym sets new SOTA in chemical synthesis
JosephJacks_ · x · 2026-09-06
- A team trained a 2.6B-parameter LFM model by Liquid AI in MMAIGym to find viable chemical synthesis routes among countless possible ones.
- Results: +7% over the best specialist tool and +27% over frontier LLMs, with the small model punching far above its weight.
- A new SOTA for foundation models in AI-for-Science chemistry planning, dubbed insilicoSOTAFM.
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