Overview
- VisionPsy-Nano, which Tether Data released on July 29, is a roughly 460 million parameter vision-language model that the company designed to run on consumer smartphones.
- The model ships under an open-source license so developers can inspect, modify, and deploy it without paying licensing fees.
- Tether’s QVAC SDK includes TurboQuant quantization that the company says can cut memory use up to fivefold and a growing synthetic corpus called QVAC Genesis that expanded from 41 billion to 148 billion tokens for training.
- Tether published benchmark claims that VisionPsy-Nano leads smartphone vision-language performance and points to earlier MedPsy scores versus Google, but independent testing and peer review are needed to confirm those results.
- If developers adopt the on-device model and QVAC’s USDT and Bitcoin payment hooks, users could see faster, more private image-and-text features on phones and new micropayment flows on crypto rails, making independent benchmarks and real-world tests the key next milestones.