A newer version of the Gradio SDK is available: 6.19.0
metadata
title: Tiny Browser Planner
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.36.1
python_version: 3.12.0
app_file: app.py
pinned: false
tags:
- track:backyard
- sponsor:openbmb
- achievement:welltuned
- achievement:fieldnotes
Tiny Browser Planner
A 1B model that plans browser actions — fine-tuned MiniCPM5-1B with LoRA.
The core finding: A 1B model can explain the correct browser action before it can reliably choose it.
Links
- Space (Gradio Demo): https://huggingface.co/spaces/build-small-hackathon/tiny-browser-planner
- Model: https://huggingface.co/Georgefifth/tiny-browser-planner-reason
- Dataset: https://huggingface.co/datasets/Georgefifth/tiny-browser-planner-reason-dataset
- Demo Video (X Post): https://x.com/i/status/2066584425140473947
The Core Finding
A 1B model can explain the correct browser action before it can reliably choose it.
Experiments
v1 → v4
Data scaling didn't help. 200 targeted hard examples outperformed 2000 generic ones.
Ablation: Action Space Paradox
Adding back to the action space created a powerful tool — but the model over-generalized it, using back for everything.
Reason-First
With just 40 reasoning examples (7.8s training), the model went from 4/12 → 10/12. The reasoning head eliminates heuristic shortcutting.
Usage
Enter a task and browsing history. The model shows its reasoning, then picks the next action.