gWorld

gWorld: open-weight GUI world model (8B/32B) for mobile GUI agents — predicts the next screen as renderable HTML. ICML 2026.

benchmark

View on GitHub Website

61 Stars

1 Forks

0 Watchers

Python Language

100 SrcLog Score

Cost to Build

$99.5K

Market Value

$202.3K

How is this calculated?

Growth over time

1 data points · 2026-10-03 → 2026-10-03

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about gWorld

Question copied to clipboard

What is the trillion-labs/gWorld GitHub project? Description: "gWorld: open-weight GUI world model (8B/32B) for mobile GUI agents — predicts the next screen as renderable HTML. ICML 2026.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone gWorld

Clone via HTTPS

git clone https://github.com/trillion-labs/gWorld.git

Clone via SSH

[email protected]:trillion-labs/gWorld.git

Download ZIP

Download main.zip

Found an issue?

Report bugs or request features on the gWorld issue tracker:

Open GitHub Issues

Similar to gWorld

netdata fashion-mnist FrameworkBenchmarks BenchmarkDotNet jmeter awesome-semantic-segmentation sysbench hyperfine tsung benchmark_results across web-frameworks php-framework-benchmark jsperf.com go-web-framework-benchmark huststore phoronix-test-suite Attabench ann-benchmarks sbt-jmh caffenet-benchmark chillout IocPerformance prophiler TBCF NBench sympact awesome-http-benchmark BlurTestAndroid pytest-benchmark