CoinWorld News reports that Wu said that Tether's AI research team today launched the QVAC Medpsy medical language model. The series of models aims to run directly on low-computing devices such as smartphones and wearable devices, providing performance comparable to large models while achieving full localization and privacy protection. Data shows that its 1.7B parameter model scored an average of 62.62 across seven medical benchmark tests, outperforming Google Medgemma-1.5-4B-IT, which has more than twice the number of parameters, by 11.42 points. Tether CEO Paolo Ardoino stated that enabling medical reasoning to run locally where the data resides (such as hospital systems or mobile devices) eliminates the need to rely on cloud processing of sensitive information.