According to Odaily, Tether AI Research Group released QVAC MedPsy, a medical AI model designed to run locally on smartphones and wearable devices without cloud dependency. The 1.7 billion-parameter version scored 62.62 on seven medical benchmarks, outperforming Google’s MedGemma-1.5-4B by 11.42 points despite being half its size. The 4 billion-parameter variant achieved 70.54 average score, surpassing models seven times larger. The model generates approximately 909 tokens per inference, significantly lower than comparable systems at 2,953 tokens, reducing latency and computational costs. QVAC MedPsy includes quantized GGUF versions for mobile and edge device deployment.
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