# MLNLP-World/LLMs-from-scratch-CN

LLMs-from-scratch项目中文翻译

Repository: https://github.com/MLNLP-World/LLMs-from-scratch-CN
Canonical: https://ross.abutalabs.com/products/mlnlp-world-llms-from-scratch-cn
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Last push: 2026-04-19T07:21:09+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 78, release rhythm 35, longevity 42
- inputs: {"age_days": 590, "days_push": 136, "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 2877, forks 479 (observed 2026-08-28T04:07:27.462747+00:00)

## What it is
A Chinese translation of the popular 'LLMs-from-scratch' project by Sebastian Raschka, providing markdown notes and Jupyter notebooks for building large language models from scratch. It includes fully commented Chinese code and supplementary learning materials for understanding Transformer, GPT, and BERT internals.

## Use cases
- learn how large language models work by implementing them from scratch
- study GPT and Transformer architecture with Chinese-language tutorials
- follow a hands-on LLM course with Jupyter notebooks
- understand attention mechanisms and sequence modeling step by step
- find a Chinese version of the LLMs-from-scratch book materials
- practice building a small GPT model in Python

## When to choose
- you are a Chinese-speaking learner who wants to study LLM internals in your native language
- you want detailed, commented notebook code accompanying each chapter
- you prefer learning by implementing models rather than using high-level libraries

## When to avoid
- you need production-ready LLM training or inference code
- you prefer the original English materials or the latest updates directly from the upstream repo
- you need a maintained software library rather than educational content

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, llm-training, deep-learning, nlp
- domain: large-language-models, deep-learning, machine-learning, tutorials
- platform: python, cross-platform
- tags: chinese-translation, llms-from-scratch, jupyter-notebooks, educational, gpt, transformer, hands-on, natural-language-processing

## Member repositories
- MLNLP-World/LLMs-from-scratch-CN (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:27.462747+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 2026-08-30T07:35:40.604242+00:00, confidence not recorded.
  - readme: https://github.com/MLNLP-World/LLMs-from-scratch-CN (fetched 2026-08-28T04:07:27.462747+00:00, sha 5a683ac59a5a)
- Data as of 2026-08-30T08:39:29.467469+00:00.