GELab-Zero-4B-preview-GGUF

The GELab-Zero-4B-preview from stepfun-ai is a 4B-parameter multimodal GUI agent model fine-tuned on Qwen3-VL-4B-Instruct, optimized for autonomous control of Android devices through visual understanding and actions like clicking, typing, swiping, and waiting, enabling zero-shot execution of complex, multi-step tasks across apps in categories such as food, transportation, shopping, and social without app-specific training. Designed for local deployment on consumer-grade hardware with low latency and full privacy, it excels in GUI navigation, UI element detection, localization, and open-world generalization on dynamic interfaces, achieving state-of-the-art results like 73.4% accuracy on AndroidDaily benchmarks—surpassing UI-TARS-1.5 by 26.4% and outperforming GPT-4o by 3.7x. Part of the open-source GELab-Zero project, it includes plug-and-play infrastructure for ADB connections, dependency management, task recording/replay, ReAct loops, multi-agent collaboration, and supports formats like GGUF for efficient inference via Ollama or llama.cpp on everyday machines.

GELab-Zero-4B-preview [GGUF]

File Name	Quant Type	File Size	File Link
GELab-Zero-4B-preview.BF16.gguf	BF16	8.05 GB	Download
GELab-Zero-4B-preview.F16.gguf	F16	8.05 GB	Download
GELab-Zero-4B-preview.F32.gguf	F32	16.1 GB	Download
GELab-Zero-4B-preview.Q8_0.gguf	Q8_0	4.28 GB	Download
GELab-Zero-4B-preview.mmproj-bf16.gguf	mmproj-bf16	839 MB	Download
GELab-Zero-4B-preview.mmproj-f16.gguf	mmproj-f16	836 MB	Download
GELab-Zero-4B-preview.mmproj-f32.gguf	mmproj-f32	1.66 GB	Download

Quants Usage

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):