microsoft/Fara1.5-27B · Hugging Face
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| Fara1.5-27B is a multimodal computer use agent (CUA) for web browsers, from Microsoft Research AI Frontiers. It observes the browser through screenshots and acts on the user's behalf by emitting structured tool calls — click, type, scroll, visit URL, web search, and so on — to complete tasks end-to-end. The model is vision-only at perception time: it sees the browser through screenshots, not the DOM or accessibility tree. Internal reasoning and trajectory history are tracked as text. Given the latest screenshot and prior actions, it predicts the next action with grounded arguments (e.g., pixel coordinates for a click). Fara1.5-27B is supervised fine-tuned from Qwen3.5-27B on data generated by FaraGen1.5, our multi-agent pipeline that synthesizes web tasks, executes trajectories to solve them, and verifies the results before training. It's co-designed with MagenticLite, and that's the recommended deployment for both research and production. Primary use casesAutomating repetitive web tasks: filling forms, shopping, booking travel, restaurant reservations, information seeking, account workflows. Fara1.5-27B can also serve as a grounding model for other agents that need pixel-accurate action prediction. Out of scope
Known limitations
Additional Models: (I don't see 9B model on HF even though model cards mentions 9B, Added below) [link] [comments] |
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