Mindket

LLM训练终极指南 | The Ultra-Scale Playbook

Newversion 1 · updated

Overview

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 . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python and pip
  • A web browser
  • Node and npm, only if you want to change and rebuild the page
Runs in
  • 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.
Start with
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

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

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.

IndustryWho uses itHow they use itExample
AI engineeringML engineersRead about the parts of LLM trainingOpen the page and read the section on a topic they work on
EducationStudents and teachersUse the page as reading materialShare the page with a study group
Web developmentFront-end developersStudy the fragment loading in the sourceRead 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 caseWhoWhat they get back
Reading onlineAnyoneThe playbook page in the browser
Offline readingAnyoneA local copy of the page you open from a folder
Editing the pageWeb developersA 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.
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.

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.

ToolWhat it does
npm installInstalls the packages the page build needs
npm run buildBuilds the page into the dist folder
npm run devStarts 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.

  1. Edit files under src
  2. npm run build compiles the page
  3. The dist folder holds the result
  4. You commit the dist folder
  5. 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 and files

README

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.

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.
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.

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

On Hugging Face, 13 November 2026

  • Likes: 281
  • Built with: static
  • License: apache-2.0

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
LLM训练终极指南 | The Ultra-Scale Playbook This page281staticapache-2.0
The Ultra-Scale PlaybookShares static4,131staticapache-2.0
Attention VisualizationShares static200staticapache-2.0
Number Tokenization BlogShares static127staticmit
Train the agent slidesShares static20staticapache-2.0
Le TubeShares static5staticodc-by
Numbers as Mindket last read them, on 2026-11-12.

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