# AiHubCN/Awesome-Chinese-LLM

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

Repository: https://github.com/AiHubCN/Awesome-Chinese-LLM
Canonical: https://ross.abutalabs.com/products/awesome-chinese-llm
License Family: other
Topics: llm, nlp, chatglm, chinese, llama, awesome-lists
Last push: 2026-05-10T05:03:06+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 81, release rhythm 35, longevity 85
- inputs: {"age_days": 1199, "days_push": 115, "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 22752, forks 2135 (observed 2026-08-28T04:11:33.986995+00:00)

## What it is
A curated awesome-list cataloging open-source Chinese large language models, focusing on smaller, privately deployable, low-cost models. It covers base models, domain-specific fine-tunes, applications, datasets, and tutorials.

## Use cases
- find open-source Chinese LLMs to self-host
- compare base model sizes and commercial licenses
- discover domain-specific fine-tuned Chinese models
- find Chinese LLM datasets and tutorials
- research small deployable LLMs like ChatGLM and Qwen

## When to choose
- you need a curated index of Chinese-language LLM resources
- you want small models suitable for private deployment
- you're surveying the Chinese LLM ecosystem before picking a model

## When to avoid
- you need runnable software rather than a resource list
- you only need English-centric LLMs
- you need guaranteed up-to-date benchmark data

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, llm-inference, nlp
- domain: large-language-models, awesome-lists, artificial-intelligence
- platform: cross-platform
- tags: awesome-list, chinese-llm, curated-resources, open-source-models, fine-tuning, datasets, natural-language-processing

## Member repositories
- AiHubCN/Awesome-Chinese-LLM (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:33.986995+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 2026-08-29T16:56:55.994161+00:00, confidence not recorded.
  - readme: https://github.com/AiHubCN/Awesome-Chinese-LLM (fetched 2026-08-28T04:11:33.986995+00:00, sha d012b8c86617)
- Data as of 2026-08-30T08:39:29.467469+00:00.