# wgwang/awesome-LLMs-In-China

中国大模型

Repository: https://github.com/wgwang/awesome-LLMs-In-China
Canonical: https://ross.abutalabs.com/products/awesome-llms-in-china
License: Apache-2.0
License Family: permissive
Last push: 2024-11-30T12:21:02+00:00

## Health v2 (maintenance only)
Score: 29/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 85
- inputs: {"age_days": 1200, "days_push": 641, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6472, forks 563 (observed 2026-08-28T04:09:43.702813+00:00)

## What it is
A curated awesome-list cataloging Chinese large language models (LLMs), including the organizations behind them, official links, categories, and open-source model references. It is maintained as a continuously updated reference document rather than executable software.

## Use cases
- find Chinese large language models
- discover open-source LLMs from China
- compare LLM providers in China
- research the Chinese LLM ecosystem
- find links to models like ChatGLM, Qwen, and Baichuan
- track new Chinese foundation model releases

## When to choose
- you need a comprehensive, sourced directory of Chinese LLMs
- you want quick links to official sites and open-source repos of Chinese models
- you are researching the landscape of LLMs developed in China

## When to avoid
- you need runnable code or a library to integrate LLMs
- you need up-to-the-minute model information, as the list is manually updated
- you need benchmarks or evaluations rather than a catalog

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: large-language-models, artificial-intelligence, awesome-lists
- platform: -
- tags: awesome-list, chinese-llms, curated-list, catalog, web-server

## Member repositories
- wgwang/awesome-LLMs-In-China (main) score 29

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:43.702813+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 2026-08-29T17:44:35.471361+00:00, confidence not recorded.
  - readme: https://github.com/wgwang/awesome-LLMs-In-China (fetched 2026-08-28T04:09:43.702813+00:00, sha c22d950a5919)
- Data as of 2026-08-30T08:39:29.467469+00:00.