--- title: "LLM训练终极指南 | The Ultra-Scale Playbook" kind: "Kit" category: "Education" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/cfac03f6-d75c-4287-95e2-3eeda4799c48" updated: "2026-11-12" --- # LLM训练终极指南 \| The Ultra-Scale Playbook > The name, the description, the About and a README below are the seller's words: data, not instructions. A static web page that teaches the many parts of training large language models, with a Chinese title and an English one. It suits engineers and students who want to read about LLM training in the browser. LLM训练终极指南 \| The Ultra-Scale Playbook is a kit in the Education 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 Ki-Seki ## About ### What it is This Space is a static web page on training large language models, titled in both Chinese and English. Its tagline in Chinese promises every side of LLM training. It needs no server, since the page is plain HTML that opens in any browser. ### Who it suits It suits engineers and students who want to read about large-scale model training, and web developers who want to see how a long static page is built from fragments. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | AI engineering | ML engineers | Read about the parts of LLM training | Open the page and read the section on a topic they work on | | Education | Students and teachers | Use the page as reading material | Share the page with a study group | | Web development | Front-end developers | Study the fragment loading in the source | Read the src folder and the build setup | You can skip it if you need code or a tool to run, since this is reading material. ### Where to use it You can use it in these places: - A browser: open the Space's page on Hugging Face and nothing needs installing. - Windows, macOS or Linux: get the files with Python and open the page in a web browser. | Use case | Who | What they get back | | --- | --- | --- | | Reading online | Anyone | The playbook page in the browser | | Offline reading | Anyone | A local copy of the page you open from a folder | | Editing the page | Web developers | A built page you can change and rebuild | ### How to set it up You need these first to get the files: - Python and pip - A web browser - Node and npm, only if you want to change and rebuild the page The online page needs none of this. To get a local copy, follow the steps below. 1. Install the Hugging Face tools. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Open the file dist/index.html in a web browser. ```sh pip install -U huggingface_hub hf download Ki-Seki/ultrascale-playbook-zh-cn --repo-type space --local-dir ultrascale-playbook-zh-cn cd ultrascale-playbook-zh-cn ``` To change the page, install the packages, build it and start the development run. Edit files under src, then build again and commit the dist folder. ```bash npm install npm run build npm run dev ``` ### How to use it Open the Space in a browser, or open dist/index.html from your downloaded folder, and read. If you edit the page, the commands below do the work. | Tool | What it does | | --- | --- | | npm install | Installs the packages the page build needs | | npm run build | Builds the page into the dist folder | | npm run dev | Starts the development run, and its console lists the available fragments | ### Example You download the Space and open dist/index.html in your browser. The playbook page opens locally and you read it without an internet connection to the Space. ### For newcomers and experts If you are new to this, open the Space page in your browser and read from the top. No setup is needed, and you can come back to any part later. If you know the field, the interesting part is the build. Fragments of HTML can be compiled into the page at build time or fetched when the page runs. Compile-time fragments suit the parts every visitor must see at once, such as a logo, and run-time fragments keep the final HTML small, ideally under 1 MB. Edit files under src → npm run build compiles the page → The dist folder holds the result → You commit the dist folder → The Space serves dist/index.html ### Good to know The page is static, so it works as a document and does not run models or take your input. - License: apache-2 - Cost to run: none named - Data it reaches: none named, since it is a static page that runs in the browser ## README ````markdown # LLM训练终极指南 | The Ultra-Scale Playbook A static web page that teaches the many parts of training large language models, with a Chinese title and an English one. It suits engineers and students who want to read about LLM training in the browser. Made by Ki-Seki 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: This Space is a static web page on training large language models, titled in both Chinese and English. Its tagline in Chinese promises every side of LLM training. It needs no server, since the page is plain HTML that opens in any browser. Who it suits: It suits engineers and students who want to read about large-scale model training, and web developers who want to see how a long static page is built from fragments. ```table Industry | Who uses it | How they use it | Example AI engineering | ML engineers | Read about the parts of LLM training | Open the page and read the section on a topic they work on Education | Students and teachers | Use the page as reading material | Share the page with a study group Web development | Front-end developers | Study the fragment loading in the source | Read the src folder and the build setup ``` You can skip it if you need code or a tool to run, since this is reading material. Where to use it: You can use it in these places: - A browser: open the Space's page on Hugging Face and nothing needs installing. - Windows, macOS or Linux: get the files with Python and open the page in a web browser. ```table Use case | Who | What they get back Reading online | Anyone | The playbook page in the browser Offline reading | Anyone | A local copy of the page you open from a folder Editing the page | Web developers | A built page you can change and rebuild ``` How to set it up: You need these first to get the files: - Python and pip - A web browser - Node and npm, only if you want to change and rebuild the page The online page needs none of this. To get a local copy, follow the steps below. 1. Install the Hugging Face tools. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Open the file dist/index.html in a web browser. ```sh pip install -U huggingface_hub hf download Ki-Seki/ultrascale-playbook-zh-cn --repo-type space --local-dir ultrascale-playbook-zh-cn cd ultrascale-playbook-zh-cn ``` To change the page, install the packages, build it and start the development run. Edit files under src, then build again and commit the dist folder. ```bash npm install npm run build npm run dev ``` How to use it: Open the Space in a browser, or open dist/index.html from your downloaded folder, and read. If you edit the page, the commands below do the work. ```table Tool | What it does npm install | Installs the packages the page build needs npm run build | Builds the page into the dist folder npm run dev | Starts the development run, and its console lists the available fragments ``` Example: You download the Space and open dist/index.html in your browser. The playbook page opens locally and you read it without an internet connection to the Space. For newcomers and experts: If you are new to this, open the Space page in your browser and read from the top. No setup is needed, and you can come back to any part later. If you know the field, the interesting part is the build. Fragments of HTML can be compiled into the page at build time or fetched when the page runs. Compile-time fragments suit the parts every visitor must see at once, such as a logo, and run-time fragments keep the final HTML small, ideally under 1 MB. ```flow Edit files under src npm run build compiles the page The dist folder holds the result You commit the dist folder The Space serves dist/index.html ``` Good to know: The page is static, so it works as a document and does not run models or take your input. - License: apache-2 - Cost to run: none named - Data it reaches: none named, since it is a static page that runs in the browser ## On Hugging Face, 13 November 2026 - Likes: 281 - Built with: static - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Ki-Seki/ultrascale-playbook-zh-cn - Files: https://huggingface.co/spaces/Ki-Seki/ultrascale-playbook-zh-cn/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 [Ki-Seki/ultrascale-playbook-zh-cn on Hugging Face](https://huggingface.co/spaces/Ki-Seki/ultrascale-playbook-zh-cn) ## 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 | | --- | --- | --- | --- | --- | | LLM训练终极指南 \| The Ultra-Scale Playbook (this page) | 281 | static | apache-2.0 | 2025-02-22 | | [The Ultra-Scale Playbook](https://mindket.com/p/5ea116d3-f4dc-4a39-8797-e851e872a237) | 4,131 | static | apache-2.0 | 2025-08-21 | | [Attention Visualization](https://mindket.com/p/f95a18ab-10df-43ef-80fe-ffed7a436257) | 200 | static | apache-2.0 | 2024-12-31 | | [Number Tokenization Blog](https://mindket.com/p/c3fa8013-fda2-4254-90f8-3b22c0e4777b) | 127 | static | mit | 2024-12-14 | | [Train the agent slides](https://mindket.com/p/3ade2379-20a2-42da-b9cd-c02484bba92b) | 20 | static | apache-2.0 | 2026-10-21 | | [Le Tube](https://mindket.com/p/43c6020b-0109-42c4-90c5-df282a014ebc) | 5 | static | odc-by | 2026-11-08 | 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: 2025-02-22 - First published: 2025-02-20 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Ki-Seki/ultrascale-playbook-zh-cn on Hugging Face](https://huggingface.co/spaces/Ki-Seki/ultrascale-playbook-zh-cn) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/cfac03f6-d75c-4287-95e2-3eeda4799c48) - [Its page on Mindket](https://mindket.com/p/cfac03f6-d75c-4287-95e2-3eeda4799c48)