# datawhalechina/hugging-llm

HuggingLLM, Hugging Future.

Repository: https://github.com/datawhalechina/hugging-llm
Canonical: https://ross.abutalabs.com/products/hugging-llm
Homepage: https://datawhalechina.github.io/hugging-llm/#/
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Last push: 2026-06-16T10:01:36+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 87, release rhythm 35, longevity 88
- inputs: {"age_days": 1240, "days_push": 78, "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 3063, forks 388 (observed 2026-08-28T04:07:41.210110+00:00)

## What it is
HuggingLLM is an open-source Chinese tutorial (the 'Butterfly Book') from Datawhale teaching the principles, usage, and application development of ChatGPT and large language models. It targets non-NLP or non-algorithm professionals with programming basics who want to build LLM-powered products using APIs like OpenAI's and Zhipu GLM.

## Use cases
- learn how ChatGPT and LLM APIs work
- build applications on top of large language model APIs
- get started with LLM development without an NLP background
- learn to call Chinese LLM APIs like Zhipu GLM
- follow a structured course on ChatGPT usage with example code

## When to choose
- you are a beginner or non-specialist wanting to apply LLMs in products
- you prefer Chinese-language tutorials with example code and videos
- you want practical API usage rather than algorithm internals

## When to avoid
- you want to study underlying training algorithms like PPO or RLHF in depth
- you aim to build a ChatGPT-like model from scratch
- you need an English-language resource

## Facets
- artifact type: learning-resource
- maturity: active
- function: llm-inference, prompt-engineering, chatbot
- domain: large-language-models, tutorials, artificial-intelligence, education
- platform: python
- tags: chatgpt, open-source-course, datawhale, chinese, llm-applications, ebook

## Member repositories
- datawhalechina/hugging-llm (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:41.210110+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 2026-08-30T07:28:18.619420+00:00, confidence not recorded.
  - readme: https://github.com/datawhalechina/hugging-llm (fetched 2026-08-28T04:07:41.210110+00:00, sha 32437e02b38f)
  - homepage: https://datawhalechina.github.io/hugging-llm/#/ (fetched 2026-08-29T09:43:38.633123+00:00, sha 49053852c467)
- Data as of 2026-08-30T08:39:29.467469+00:00.