AutoTrust's open multimodal decision model JEV-27B-VL passes 1.54M downloads
The model takes screens, images and text as input and outputs calibrated probabilities over actions for computer use, recommendation and agent evaluation, scoring 77.8% accuracy across 13,695 examples on the Jev Decision Index vision board.
Thank you @HuggingModels for featuring AutoTrust AI’s JEV-27B-VL! From 179K downloads in this post to 1.54M today. Our open multimodal decision model also leads the Jev Decision Index vision board: 77.8% accuracy across 13,695 examples. Screens, images, and text in. Calibrated probabilities over actions out — for computer use, recommendation, and agent evaluation. Download the model: https://huggingface.co/autotrust/JEV-27B-VL Explore our research workspace. Download ScienceGuru: https://scienceguru.ai/
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