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Awesome-Chinese-LLM

AiHubCN/Awesome-Chinese-LLM

整理开源的中文大语言模型

GitHub

GraphCanon updated 3d · GitHub synced 3d

23k stars2.1k forksLast push 3mo

Decision brief

Awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment.

Good fit when

If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.
When your project requires access to both foundational and specific domain-tuned models along with supporting data sets and tutorials.

Avoid when

Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese.
If your deployment scenario is limited to public cloud services only without the option for private deployment.

Observed Jul 11, 2026 · Source: enrich:decision_facts

Awesome-Chinese-LLM alternatives Trust report

Awesome-Chinese-LLM vs Baichuan-7B

Verify the decision

Maintenance and security

Full trust report

Maintenance: Slowing (98d since push); As of 3d
Provenance: Not a fork · Personal account; As of 3d
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/AiHubCN/Awesome-Chinese-LLM

How it fits your stack(16)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

Baichuan-7B

Both Baichuan-7B and Awesome-Chinese-LLM are focused on Chinese large language models, addressing the same problem of providing high-performance Chinese NLP capabilities.

alternative

Integrates

ollama

Awesome-Chinese-LLM is a collection of open-source Chinese LLM models and resources designed for private deployment, while ollama provides an infrastructure to easily run and integrate various large language models. The 'integrates with' relationship signifies that ollama can facilitate the execution and deployment of the Chinese LLMs listed in Awesome-Chinese-LLM.

integrates

TradingAgents

Awesome-Chinese-LLM provides a collection of Chinese language-based LLM models suitable for private deployment, which can be integrated into the TradingAgents framework to enable localized natural language processing capabilities in Chinese for its multi-agent systems focused on financial trading.

integrates

gpt_academic

Binary Husky's GPT Academic interacts well with Chinese LLMs by providing specialized interfaces for academic use, which could be included in Awesome-Chinese-LLM.

integrates

transformers

Awesome-Chinese-LLM involves models and tools that are often implemented or available using the transformers library, though it is specifically focused on Chinese LLMs.

awesome-llm-apps

Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.

LlamaFactory

LlamaFactory handles the fine-tuning of various LLMs including smaller models which are also a focus in Awesome-Chinese-LLM.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Langchain-Chatchat39k★

Qwen22k★

transformers164k★

awesome-llm-apps131k★

LlamaFactory74k★

AlternativeIntegratesRelated

Langchain-Chatchat39k★

Qwen22k★

transformers164k★

awesome-llm-apps131k★

LlamaFactory74k★

AlternativeIntegratesRelated

Similar tools

Same-category neighbours not already linked as typed edges.

Chinese-LLaMA-Alpaca

Chinese LLaMA & Alpaca Large Language Models for Local CPU/GPU Training and Deployment

19k★

litgpt

High-performance LLMs with recipes for pretraining, finetuning and deployment

14k★

open-llms

A list of open LLMs available for commercial use.

13k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

汇集了规模较小、适合私有化部署和低成本训练的中文大语言模型，包括基础模型、垂直领域的微调应用、相关数据集与教程。

Capability facts

No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).

Graph entities

LangChainframework

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

LangChain integrationLangChain

Source: README excerpt (regex_v1, Aug 17, 2026)

- [2.2 LangChain应用](#22-langchain应用)

Source link

Works with ChatGPTChatGPT

Source: README excerpt (regex_v1, Aug 17, 2026)

自ChatGPT为代表的大语言模型（Large Language Model, LLM）出现以后，由于其惊人的类通用人工智能（AGI）的能力，掀起了新一轮自然语言处理领域的研究

Source link

README

Awesome Chinese LLM

An Awesome Collection for LLM in Chinese

收集和梳理中文LLM相关

自ChatGPT为代表的大语言模型（Large Language Model, LLM）出现以后，由于其惊人的类通用人工智能（AGI）的能力，掀起了新一轮自然语言处理领域的研究和应用的浪潮。尤其是以ChatGLM、LLaMA等平民玩家都能跑起来的较小规模的LLM开源之后，业界涌现了非常多基于LLM的二次微调或应用的案例。本项目旨在收集和梳理中文LLM相关的开源模型、应用、数据集及教程等资料，目前收录的资源已达100+个！

如果本项目能给您带来一点点帮助，麻烦点个⭐️吧～

同时也欢迎大家贡献本项目未收录的开源模型、应用、数据集等。提供新的仓库信息请发起PR，并按照本项目的格式提供仓库链接、star数，简介等相关信息，感谢~

常见底座模型细节概览：

底座	包含模型	模型参数大小	训练token数	训练最大长度	是否可商用
ChatGLM	ChatGLM/2/3/4 Base&Chat	6B	1T/1.4	2K/32K	可商用
LLaMA	LLaMA/2/3 Base&Chat	7B/8B/13B/33B/70B	1T/2T	2k/4k	部分可商用
Baichuan	Baichuan/2 Base&Chat	7B/13B	1.2T/1.4T	4k	可商用
Qwen	Qwen/1.5/2/2.5 Base&Chat&VL	7B/14B/32B/72B/110B	2.2T/3T/18T	8k/32k	可商用
BLOOM	BLOOM	1B/7B/176B-MT	1.5T	2k	可商用
Aquila	Aquila/2 Base/Chat	7B/34B	-	2k	可商用
InternLM	InternLM/2/2.5 Base/Chat/VL	7B/20B	-	200k	可商用
Mixtral	Base&Chat	8x7B	-	32k	可商用
Yi	Base&Chat	6B/9B/34B	3T	200k	可商用
DeepSeek	Base&Chat	1.3B/7B/33B/67B	-	4k	可商用
XVERSE	Base&Chat	7B/13B/65B/A4.2B	2.6T/3.2T	8k/16k/256k	可商用
MiniMax	MiniMax-Text-01/VL-01	456B(45.9B activated)	-	1M/4M	可商用

目录
- 1. 模型
  - 1.1 文本LLM模型
  - 1.2 多模态LLM模型
- 2. 应用
  - 2.1 垂直领域微调
    - 医疗
    - 法律
    - 金融
    - 教育
    - 科技
    - 电商
    - 网络安全
    - 农业
  - 2.2 LangChain应用
  - 2.3 其他应用
- 3. 数据集
  - 预训练数据集
  - SFT数据集
  - 偏好数据集
- 4. LLM训练微调框架
- 5. LLM推理部署框架
- 6. LLM评测
- 7. LLM教程
  - LLM基础知识
  - 提示工程教程
  - LLM应用教程
  - LLM实战教程
- 8. 相关仓库
Star History

1. 模型

1.1 文本LLM模型

ChatGLM：
- 地址：https://github.com/THUDM/ChatGLM-6B
- 简介：中文领域效果最好的开源底座模型之一，针对中文问答和对话进行了优化。经过约 1T 标识符的中英双语训练，辅以监督微调、反馈自助、人类反馈强化学习等技术的加持
ChatGLM2-6B
- 地址：https://github.com/THUDM/ChatGLM2-6B
- 简介：基于开源中英双语对话模型 ChatGLM-6B 的第二代版本，在保留了初代模型对话流畅、部署门槛较低等众多优秀特性的基础之上，引入了GLM 的混合目标函数，经过了 1.4T 中英标识符的预训练与人类偏好对齐训练；基座模型的上下文长度扩展到了 32K，并在对话阶段使用 8K 的上下文长度训练；基于 Multi-Query Attention 技术实现更高效的推理速度和更低的显存占用；允许商业使用。
ChatGLM3-6B
- 地址：https://github.com/THUDM/ChatGLM3
- 简介：ChatGLM3-6B 是 ChatGLM3 系列中的开

For agents

This page has a .md twin and JSON over the API.

/tools/aihubcn-awesome-chinese-llm.md GET /api/graphcanon/tools/aihubcn-awesome-chinese-llm GET /api/graphcanon/graph?tool=aihubcn-awesome-chinese-llm

Install

git clone https://github.com/AiHubCN/Awesome-Chinese-LLM

Explore

Awesome-Chinese-LLM alternatives LLM Frameworks category All comparisons Stack workflows

Awesome-Chinese-LLM

Decision brief

Good fit when

Avoid when

Verify the decision

Maintenance and security

Install

How it fits your stack(16)

Alternative

Integrates

Related

Relationship graph

Similar tools

Evidence and technical details

Overview

Capability facts

Categories

Graph entities

Compatibility

Tags

README

Awesome Chinese LLM

目录

1. 模型

1.1 文本LLM模型

For agents