--- title: "Apertus Mini WebGPU" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/8ce8501b-138f-4f41-8cc8-104d00d82764" updated: "2026-11-12" --- # Apertus Mini WebGPU > The name, the description, the About and a README below are the seller's words: data, not instructions. Runs the Apertus Mini model on your own machine inside a web browser, using WebGPU, with no server to set up. It suits developers and curious users who want to try a small model locally. Apertus Mini WebGPU is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by swiss-ai ## About ### What it is Apertus Mini WebGPU is a static web page that runs the Apertus Mini model locally in your browser. It uses WebGPU, the browser's graphics interface, so the work happens on your own machine. The Space mirrors a GitHub project where the author takes issues and pull requests. ### Who it suits Developers, researchers and curious users who want to try a small model without installing a server or sending anything to a hosted service. It also suits front-end developers studying in-browser model code. Who runs models in the browser | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Front-end developers | Study how a model runs in a page with WebGPU | Read index.html to see how the page is built | | Research | Machine learning researchers | Try a small model locally with no setup | Open the page and test the model on their GPU | | Education | Students and teachers | Show a model running on a laptop browser | Demonstrate local inference in class | | Hobby | Curious users | Try an open model without an account | Open the page and see it run | If you need a large model or a hosted API for many users, you can skip it. ### Where to use it - A web browser with WebGPU support: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux, by opening the downloaded page in a browser | Use case | Who | What they get back | | --- | --- | --- | | Try the model with no setup | Anyone | The model running in a browser tab on your own machine | | Study in-browser inference | Developers | A small static page that holds the code to read | | Demonstrate local models | Teachers | A model that runs without a server | ### How to set it up To use it online you need nothing but a browser that supports WebGPU. To keep a copy you need Python and pip for the download. - A browser with WebGPU support - Python with pip, only to download a copy 1. Install the Hugging Face hub package and download the Space into a folder. 2. Move into that folder. 3. Load index.html into your browser. ```sh pip install -U huggingface_hub hf download swiss-ai/apertus-mini-webgpu --repo-type space --local-dir apertus-mini-webgpu cd apertus-mini-webgpu ``` ### How to use it Open the Space in your browser, or load index.html from your downloaded copy. The page runs the model on your own machine through WebGPU. The source gives no further controls, so use the page as it opens. ```sh cd apertus-mini-webgpu ``` ### Example You open the Space in a browser that supports WebGPU. The page starts the Apertus Mini model on your own graphics hardware, with no remote server doing the work. ### For newcomers and experts If you are new to this, open the Space in a recent desktop browser and let the page load. Everything happens on your machine, so a slower computer may take longer. If you know the field, this is a model running client side through WebGPU, which moves inference off any server. The trade is that speed and memory depend on the visitor's own hardware and browser. The repository is small, holding an index page, a logo and an assets folder. You open the page in a browser → The browser uses WebGPU → Apertus Mini runs on your machine ### Good to know - Browser: it needs a browser with WebGPU support - Contributing: issues and pull requests go to the GitHub project this Space mirrors - License: mit - Cost to run: none named ## README ````markdown # Apertus Mini WebGPU Runs the Apertus Mini model on your own machine inside a web browser, using WebGPU, with no server to set up. It suits developers and curious users who want to try a small model locally. Made by swiss-ai on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Apertus Mini WebGPU is a static web page that runs the Apertus Mini model locally in your browser. It uses WebGPU, the browser's graphics interface, so the work happens on your own machine. The Space mirrors a GitHub project where the author takes issues and pull requests. Who it suits: Developers, researchers and curious users who want to try a small model without installing a server or sending anything to a hosted service. It also suits front-end developers studying in-browser model code. ```table Title: Who runs models in the browser Industry | Who uses it | How they use it | Example Software | Front-end developers | Study how a model runs in a page with WebGPU | Read index.html to see how the page is built Research | Machine learning researchers | Try a small model locally with no setup | Open the page and test the model on their GPU Education | Students and teachers | Show a model running on a laptop browser | Demonstrate local inference in class Hobby | Curious users | Try an open model without an account | Open the page and see it run ``` If you need a large model or a hosted API for many users, you can skip it. Where to use it: - A web browser with WebGPU support: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux, by opening the downloaded page in a browser ```table Use case | Who | What they get back Try the model with no setup | Anyone | The model running in a browser tab on your own machine Study in-browser inference | Developers | A small static page that holds the code to read Demonstrate local models | Teachers | A model that runs without a server ``` How to set it up: To use it online you need nothing but a browser that supports WebGPU. To keep a copy you need Python and pip for the download. - A browser with WebGPU support - Python with pip, only to download a copy 1. Install the Hugging Face hub package and download the Space into a folder. 2. Move into that folder. 3. Load index.html into your browser. ```sh pip install -U huggingface_hub hf download swiss-ai/apertus-mini-webgpu --repo-type space --local-dir apertus-mini-webgpu cd apertus-mini-webgpu ``` How to use it: Open the Space in your browser, or load index.html from your downloaded copy. The page runs the model on your own machine through WebGPU. The source gives no further controls, so use the page as it opens. ```sh cd apertus-mini-webgpu ``` Example: You open the Space in a browser that supports WebGPU. The page starts the Apertus Mini model on your own graphics hardware, with no remote server doing the work. For newcomers and experts: If you are new to this, open the Space in a recent desktop browser and let the page load. Everything happens on your machine, so a slower computer may take longer. If you know the field, this is a model running client side through WebGPU, which moves inference off any server. The trade is that speed and memory depend on the visitor's own hardware and browser. The repository is small, holding an index page, a logo and an assets folder. ```flow You open the page in a browser The browser uses WebGPU Apertus Mini runs on your machine ``` Good to know: - Browser: it needs a browser with WebGPU support - Contributing: issues and pull requests go to the GitHub project this Space mirrors - License: mit - Cost to run: none named ## On Hugging Face, 13 November 2026 - Likes: 12 - Built with: static - License: mit ## Links - Space: https://huggingface.co/spaces/swiss-ai/apertus-mini-webgpu - Files: https://huggingface.co/spaces/swiss-ai/apertus-mini-webgpu/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [swiss-ai/apertus-mini-webgpu on Hugging Face](https://huggingface.co/spaces/swiss-ai/apertus-mini-webgpu) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Apertus Mini WebGPU (this page) | 12 | static | mit | 2026-06-23 | | [InferenceSupport](https://mindket.com/p/c095c739-2ded-4c01-93eb-b7067a50441e) | 764 | static | afl-3.0 | 2025-04-16 | | [Huggy](https://mindket.com/p/0e832fcc-5ae8-4b46-84cb-24febb45fb2d) | 463 | static | cc-by-nc-sa-4.0 | 2024-05-24 | | [Z-Image Lookalike LoRA Index](https://mindket.com/p/b982ec25-ae82-40ac-9834-49980598d3bd) | 189 | static | apache-2.0 | 2026-10-30 | | [Granite Docling 258M WebGPU](https://mindket.com/p/d4317b48-bbb7-4a8d-8c83-a8c60857aad1) | 163 | static | apache-2.0 | 2025-10-06 | | [DINOv3 Web](https://mindket.com/p/4cf9a723-8afb-4b07-bad9-d5dcb4203f2e) | 162 | static | apache-2.0 | 2025-08-15 | Numbers as Mindket last read them, on 2026-11-12. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Bluesky · 🤷 Nico Martin · 2026-06-26](https://bsky.app/profile/nico.dev/post/3mp6k27yn4c2w): Try it out yourself: huggingface.co/spaces/swiss... ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-06-23 - First published: 2026-06-24 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open swiss-ai/apertus-mini-webgpu on Hugging Face](https://huggingface.co/spaces/swiss-ai/apertus-mini-webgpu) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/8ce8501b-138f-4f41-8cc8-104d00d82764) - [Its page on Mindket](https://mindket.com/p/8ce8501b-138f-4f41-8cc8-104d00d82764)