--- title: "Next-Concept Modeling WebGPU" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/e5d477c1-51fd-47d5-8851-a2b9d3206d75" updated: "2026-11-12" --- # Next-Concept Modeling WebGPU > The name, the description, the About and a README below are the seller's words: data, not instructions. Runs small Next-Concept Modeling checkpoints from Hazy Research in your browser on WebGPU, on TinyStories, LM1B small and Sudoku. It suits researchers and developers who want a local, no install demo. Next-Concept Modeling WebGPU is a kit in the Research 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 mrfakename ## About ### What it is Next-Concept Modeling WebGPU is a static web page that runs small Next-Concept Modeling checkpoints from Hazy Research. It handles TinyStories, LM1B small and Sudoku. All of it runs on your side, using ONNX Runtime Web on WebGPU. ### Who it suits People who want to try a coarse-to-fine text generator in a browser tab, without a server or a Python setup. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Research | ML researchers | Try the small checkpoints without installing anything | The Sudoku task | | Software | Web developers | Study how the model runs in a page with a worker | Reading ncm.js and worker.js | | Education | Students of language models | Watch a small generator work on a laptop | A TinyStories run | | Outreach | Teachers | Demonstrate in-browser machine learning | A class demo | If you need the larger models, you can skip it, because a sister Space covers those. ### Where to use it - A web browser with WebGPU, on the Space's page at Hugging Face - Windows, macOS or Linux, opening index.html from a downloaded copy | Use case | Who | What they get back | | --- | --- | --- | | TinyStories | Curious users | Short generated text from a small checkpoint | | LM1B small | Researchers | Output from the small LM1B model | | Sudoku | Hobbyists | A puzzle solved by the model in the page | ### How to set it up - A browser that supports WebGPU - Python only if you want to download the files to your computer - A connection for the first load, when the converted weights are fetched 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the downloaded folder. 4. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download mrfakename/ncm-webgpu --repo-type space --local-dir ncm-webgpu cd ncm-webgpu ``` ### How to use it Open the Space page, or index.html from your copy, and choose one of the three tasks. For the larger models, such as LM1B medium and large, XSum and WMT14, use the mrfakename/ncm Space instead. | Tool | What it does | | --- | --- | | index.html | The page you open in a browser | | app.js and ncm.js | Script files for the page and the model logic | | worker.js | A script file that can run work off the main page thread | | sudoku\_ex.json | Example data for the Sudoku task | ### Example You open the page, pick the Sudoku task and run it. The small checkpoint works on your graphics card and the result appears in the page. ### For newcomers and experts Open the page in a WebGPU browser and try TinyStories first. Nothing needs installing, though the weights are fetched on the first visit. The weights in mrfakename/ncm-webgpu-weights were converted from hazyresearch/ncm-checkpoints, which carry an MIT license. Inference runs client side through ONNX Runtime Web. The trade-off is that only the three small tasks fit the browser setup, while the bigger models live in the other Space. Browser opens the static page → Converted weights load from a model repository → ONNX Runtime Web runs the model on WebGPU → Generated output shows in the page ### Good to know - Covers only TinyStories, LM1B small and Sudoku - Built as static HTML, so there is nothing to install to use it online - License: mit - Cost to run: none named - Data it reaches: converted model weights from Hugging Face on first load, nothing else named - Not for: the larger models, which the other Space handles ## README ````markdown # Next-Concept Modeling WebGPU Runs small Next-Concept Modeling checkpoints from Hazy Research in your browser on WebGPU, on TinyStories, LM1B small and Sudoku. It suits researchers and developers who want a local, no install demo. Made by mrfakename 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: Next-Concept Modeling WebGPU is a static web page that runs small Next-Concept Modeling checkpoints from Hazy Research. It handles TinyStories, LM1B small and Sudoku. All of it runs on your side, using ONNX Runtime Web on WebGPU. Who it suits: People who want to try a coarse-to-fine text generator in a browser tab, without a server or a Python setup. ```table Industry | Who uses it | How they use it | Example Research | ML researchers | Try the small checkpoints without installing anything | The Sudoku task Software | Web developers | Study how the model runs in a page with a worker | Reading ncm.js and worker.js Education | Students of language models | Watch a small generator work on a laptop | A TinyStories run Outreach | Teachers | Demonstrate in-browser machine learning | A class demo ``` If you need the larger models, you can skip it, because a sister Space covers those. Where to use it: - A web browser with WebGPU, on the Space's page at Hugging Face - Windows, macOS or Linux, opening index.html from a downloaded copy ```table Use case | Who | What they get back TinyStories | Curious users | Short generated text from a small checkpoint LM1B small | Researchers | Output from the small LM1B model Sudoku | Hobbyists | A puzzle solved by the model in the page ``` How to set it up: - A browser that supports WebGPU - Python only if you want to download the files to your computer - A connection for the first load, when the converted weights are fetched 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the downloaded folder. 4. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download mrfakename/ncm-webgpu --repo-type space --local-dir ncm-webgpu cd ncm-webgpu ``` How to use it: Open the Space page, or index.html from your copy, and choose one of the three tasks. For the larger models, such as LM1B medium and large, XSum and WMT14, use the mrfakename/ncm Space instead. ```table Tool | What it does index.html | The page you open in a browser app.js and ncm.js | Script files for the page and the model logic worker.js | A script file that can run work off the main page thread sudoku_ex.json | Example data for the Sudoku task ``` Example: You open the page, pick the Sudoku task and run it. The small checkpoint works on your graphics card and the result appears in the page. For newcomers and experts: Open the page in a WebGPU browser and try TinyStories first. Nothing needs installing, though the weights are fetched on the first visit. The weights in mrfakename/ncm-webgpu-weights were converted from hazyresearch/ncm-checkpoints, which carry an MIT license. Inference runs client side through ONNX Runtime Web. The trade-off is that only the three small tasks fit the browser setup, while the bigger models live in the other Space. ```flow Browser opens the static page Converted weights load from a model repository ONNX Runtime Web runs the model on WebGPU Generated output shows in the page ``` Good to know: - Covers only TinyStories, LM1B small and Sudoku - Built as static HTML, so there is nothing to install to use it online - License: mit - Cost to run: none named - Data it reaches: converted model weights from Hugging Face on first load, nothing else named - Not for: the larger models, which the other Space handles ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: static - License: mit ## Links - Space: https://huggingface.co/spaces/mrfakename/ncm-webgpu - Files: https://huggingface.co/spaces/mrfakename/ncm-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 [mrfakename/ncm-webgpu on Hugging Face](https://huggingface.co/spaces/mrfakename/ncm-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 | | --- | --- | --- | --- | --- | | Next-Concept Modeling WebGPU (this page) | 1 | static | mit | 2026-10-22 | | [Arena Leaderboard](https://mindket.com/p/613ca8f0-8146-4a48-87d6-43b8ee2ce3b6) | 5,039 | static | apache-2.0 | 2026-02-21 | | [Browser](https://mindket.com/p/d4e4cb47-8f53-4094-9a76-4fd29147a65b) | 533 | static | cc0-1.0 | 2026-10-18 | | [Model Pulse](https://mindket.com/p/017106fd-a3d1-4c20-944b-38f048d8b624) | 214 | static | apache-2.0 | 2026-11-04 | | [MTEB-BR Leaderboard](https://mindket.com/p/05f89589-d44c-4616-8efb-c50c9ba6ad94) | 126 | static | apache-2.0 | 2026-07-29 | | [Hub Stats](https://mindket.com/p/03d71953-8093-47a0-a444-c4f562d3071d) | 65 | static | apache-2.0 | 2026-11-12 | Numbers as Mindket last read them, on 2026-11-12. ## 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: 2026-10-22 - First published: 2026-10-22 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open mrfakename/ncm-webgpu on Hugging Face](https://huggingface.co/spaces/mrfakename/ncm-webgpu) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/e5d477c1-51fd-47d5-8851-a2b9d3206d75) - [Its page on Mindket](https://mindket.com/p/e5d477c1-51fd-47d5-8851-a2b9d3206d75)