In this tutorial, we explore MolmoWeb, Ai2’s open multimodal web agent that understands and interacts with websites directly from screenshots, without relying on HTML or DOM parsing. We set up the full environment in Colab, load the MolmoWeb-4B model with efficient 4-bit quantization, and build the exact prompting workflow that lets the model reason about a web task and predict browser actions. Also, we test the model on blank pages, synthetic web screenshots, and multi-step browsing scenarios to understand how screenshot-based web agents actually think, act, and maintain context across steps.
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