GELab-Zero-4B-preview-Sico-Evolution
Microsoft's GELab 4B-parameter multimodal model for image-text understanding with zero-shot generalization.
Base model
Model Description
- π§ This model is part of Sico β an open-source platform for building and evolving Digital Workers, where AI agents and their human operators co-evolve through real work.
- β Star the Sico repository to follow new evolved models and our model evolution pipeline β this GUI agent is the first public release, with more on the way.
- π Backed by our survey on agentic evolution and co-evolving humanβAI systems.
GELab-Zero-4B-preview-Sico-Evolution
A 4B GUI agent fine-tuned (LoRA) from the open-source GELab-Zero-4B-preview base model on Microsoft Edge and Copilot UI trajectories. It is built with our general-purpose GUI model evolution pipeline β an iterative mechanism that keeps lifting an agent's real task success rate round after round, and transfers to any GUI app.
Highlights
From 39.8% to 82.9%: Sico-Evolution achieves a dominant 82.9% Task Success Rate, a massive +43.1% absolute surge over the 39.8% base-model baseline.
Outperforms Closed-Source SOTAs: It edges out top proprietary giants like gpt-5.4 (79.7%), Claude-Opus-4.6 (81.3%), and claude-opus-4.7 (82.1%).
Vastly Exceeds Open-Source Models: It crushes leading competitors including kimi-k2.6 (62.6%) and UI-Venus-1.5-30B (61.0%).
Results

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