VisionPsy-Nano: State-of-the-Art On-Device Vision-Language Models

Tether AI Research has introduced VisionPsy-Nano, a state-of-the-art family of compact vision-language models (VLMs) designed for on-device and edge deployment, offering significant advancements in multimodal understanding. The VisionPsy-Nano family consists of two variants: VisionPsy-Nano-460M, which prioritizes quality, and VisionPsy-Nano-460M-Flash, which is optimized for latency, both achieving high performance across four key capability areas—document understanding & OCR, visual perception, reasoning & knowledge, and instruction following & reliability. VisionPsy-Nano-460M outperforms all models in its ~0.5B parameter class on 16 out of 17 benchmarks, demonstrating superior capabilities in reasoning and knowledge with a notable margin. The Flash variant offers rapid processing on mobile devices, achieving significantly lower time-to-first-token while maintaining close to full model quality. These models are publicly released under Apache 2.0 with open weights, allowing researchers to reproduce benchmark results and enabling application in latency- and memory-constrained environments like smartphones.

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