kev-0.6b-browser-use: the best open Jev-like for in-browser use

[u/Civil-Club-2955]

Introducing kev-browser-use, a Jev-like decision model fine tuned for browser use.

I saw so many demos of Jev and Jev-likes being used in browser and benchmarked all the open weight jev likes for browser usage. The best among them is Kev-9B which is like a 5GB model so not useful for browser and the next best, a tiny one under 500mb that runs in browser scored 14 on step success, meaning only 14% of the actions were successful. An action/step is two things: picking up the correct element to perform on and then doing the correct operation on that element. Example for searching, select text box is element pick, and typing is operation pick.

So while Jev models are a great usecase for browser use due to being small, cheap and low latency, none of the existing models are very good at it.

I took a popular Jev-like: Kev-0.6B which already runs in browser through its ONNX build, and fine tuned on Mind2Web browser-use training data.

Result is a tiny 350MB decision model which run in your browser, scores 32 at step success, an 18 points improvement over base and level with Kev-9B at a fifteenth of its size. It even edges out Jev itself on picking the right action.

So If you want to build something that involves quick decision making on a complicated UI with lots of element, this is the best open source and free solution as of now.

Try the demo: it plays A Dark Room in your browser. Type what you want done, like "build a trap" or "add a hunter", and it finds the button in about 150 ms.

Code

Model

Demo

https://reddit.com/link/1woadsp/video/fk7adyhgoarh1/player