Tether launches locally operated large-scale healthcare model QVAC MedPsy

CoinFeed reported on May 7th that Tether AI's research team released QVAC MedPsy, a medical language model that can run locally on low-computing-power devices such as smartphones and wearables, without relying on the cloud. The official statement claims that the 1.7B parameter model achieved an average score of 62.62 in seven closed medical benchmark tests, 11.42 points higher than Google MedGemma-1.5-4B-it, and outperformed MedGemma 27B in clinical scenarios such as HealthBench Hard. The 4B version scored 70.54 in the same tests, outperforming competitors with a scale approximately seven times larger, while reducing the average number of tokens generated by one-third to one-half compared to comparable systems, thus lowering inference costs and latency.