Lensvlm - GoKawiil

Apple researchers unveil LensVLM-9B, a vision-language model for reading compressed text images

Apple has introduced LensVLM, built on Qwen3.5-9B-Base, which lets vision-language models scan compressed text-as-image inputs and selectively expand only relevant portions using learned tools rather than reading everything at full resolution. The model reportedly matches full-text accuracy at 4.3x compression and beats retrieval and compression baselines up to 10.1x compression across seven QA benchmarks, plus document and code tasks.

huggingface.co · 2026-09-23

Apple releases LensVLM-9B, a vision-language model that compresses text as images

Apple's AI research team has published LensVLM-9B, a 9-billion-parameter vision language model that processes long documents by first compressing text into image form and then selectively decompressing only the pages it judges relevant, using learned tools. The model, code and demo scripts have been released on GitHub and Hugging Face under Apple's Machine Learning Research Model License and Sample Code License, with configurable compression ratios of 5x, 10x, or 15x.

huggingface.co · 2026-09-23