---
title: "Running Gemma 4 in the Browser with Transformers.js and WebGPU"
url: https://daily.dev/posts/running-gemma-4-in-the-browser-with-transformers-js-and-webgpu-dso1tayuq
source_url: https://pyimagesearch.com/2026/07/27/running-gemma-4-in-the-browser-with-transformers-js-and-webgpu
type: article
source: "PyImageSearch"
published: 2026-07-27T12:52:23.327Z
updated: 2026-07-29T15:43:28.810Z
tags: ["gemma", "webgpu"]
reading_time: 22
upvotes: 0
comments: 0
language: en
---

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# Running Gemma 4 in the Browser with Transformers.js and WebGPU

**[PyImageSearch](https://daily.dev/sources/pyimagesearch)** · 22 min read · 0 upvotes · 0 comments

## Summary

A step-by-step guide to running Google's Gemma 4 multimodal model entirely in the browser using Transformers.js, WebGPU, and ONNX Runtime — no Python, Node.js, or backend server required. The tutorial covers building a complete HTML/JS application that loads a quantized (q4f16) ONNX version of Gemma 4, handles image and audio inputs via URL or file upload (using FileReader and Web Audio API), checks for WebGPU support, streams generated tokens in real time with TextStreamer, and caches model weights in the browser for faster subsequent runs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://pyimagesearch.com/2026/07/27/running-gemma-4-in-the-browser-with-transformers-js-and-webgpu>

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---

Tags: [#gemma](https://daily.dev/tags/gemma), [#webgpu](https://daily.dev/tags/webgpu)

[View this post on daily.dev](https://daily.dev/posts/running-gemma-4-in-the-browser-with-transformers-js-and-webgpu-dso1tayuq)