Simon Willison’s Weblog
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Structured Generation w/ SmolLM2 running in browser & WebGPU (via) Extraordinary demo by Vaibhav Srivastav. Here's Hugging Face's SmolLM2-1.7B-Instruct running directly in a web browser (using WebGPU, so requires Chrome for the moment) demonstrating structured text extraction, converting a text description of an image into a structured GitHub issue defined using JSON schema.
The page loads 924.8MB of model data (according to this script to sum up files in window.caches) and performs everything in-browser. I did not know a model this small could produce such useful results.
Here's the source code for the demo. It's around 200 lines of code, 50 of which are the JSON schema describing the data to be extracted.
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