# skindhu/Build-A-Large-Language-Model-CN

《Build a Large Language Model (From Scratch)》是一本深入探讨大语言模型原理与实现的电子书，适合希望深入了解 GPT 等大模型架构、训练过程及应用开发的学习者。为了让更多中文读者能够接触到这本极具价值的教材，我决定将其翻译成中文，并通过 GitHub 进行开源共享。

Repository: https://github.com/skindhu/Build-A-Large-Language-Model-CN
Canonical: https://ross.abutalabs.com/products/build-a-large-language-model-cn
Language: HTML
License: NOASSERTION
License Family: other
Last push: 2026-08-10T02:54:48+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 48
- inputs: {"age_days": 679, "days_push": 23, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3980, forks 659 (observed 2026-08-28T04:08:31.022377+00:00)

## What it is
A Chinese translation of the book 'Build a Large Language Model (From Scratch)', hosted as an open-source online ebook covering GPT architecture, attention mechanisms, pretraining, and fine-tuning. It includes the original English ebook, translated chapters, and translated figures, with pointers to the official companion code.

## Use cases
- learn how GPT-style large language models work from scratch
- study attention mechanism implementation in Chinese
- understand LLM pretraining and fine-tuning concepts
- find a Chinese-language LLM textbook with translated diagrams
- learn LoRA parameter-efficient fine-tuning
- get started with PyTorch for building language models

## When to choose
- you read Chinese and want a translated version of this LLM book
- you want conceptual understanding of LLM architecture and training before coding
- you want translated figures and added explanatory notes alongside the original text

## When to avoid
- you need the official up-to-date companion code repository (use rasbt/LLMs-from-scratch)
- you prefer reading the original English edition directly
- you need a production LLM framework or library rather than learning material

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, llm-training, llm-inference, machine-learning
- domain: large-language-models, deep-learning, tutorials, education
- platform: python
- tags: chinese-translation, ebook, gpt, from-scratch, pytorch, fine-tuning, lora, attention-mechanism, natural-language-processing, web

## Member repositories
- skindhu/Build-A-Large-Language-Model-CN (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:31.022377+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:24:17.576545+00:00, confidence not recorded.
  - readme: https://github.com/skindhu/Build-A-Large-Language-Model-CN (fetched 2026-08-28T04:08:31.022377+00:00, sha 9f68b1d900a8)
- Data as of 2026-08-30T08:39:29.467469+00:00.