awesome-pretrained-chinese-nlp-models
Curated list of high-quality Chinese pretrained NLP models
GraphCanon updated 4d · GitHub synced 4d
Decision brief
A comprehensive collection of advanced Chinese NLP models including large language models and multimodal setups.
Good fit when
- When developing applications requiring high-quality, Chinese-specific large language model support
- For projects that benefit from a curated selection of both textual and multimodal pretrained models
Avoid when
- If the application requires extensive Western-language model integration
- Projects needing non-Chinese-specific fine-tuning or training will find limited utility
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (3d since push)
- As of 4d
- Provenance
- Not a fork · Personal account
- As of 4d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install awesome-pretrained-chinese-nlp-models PyPIHow it fits your stack(6)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Integrates
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A collection of high-quality pre-trained Chinese NLP models including large language models and multimodal models.
Capability facts
- Languages
- python
Source: github.language · Aug 17, 2026
Categories
Graph entities
Tags
README
Awesome Pretrained Chinese NLP Models
在自然语言处理领域中,预训练语言模型(Pretrained Language Models)已成为非常重要的基础技术,本仓库主要收集目前网上公开的一些高质量中文预训练模型、中文多模态模型、中文大语言模型等内容(感谢分享资源的大佬),并将持续更新......
国内下载HuggingFace仓库模型推荐使用HuggingFace镜像地址: https://hf-mirror.com/
📑 目录导航
📚 模型分类索引
🤖 大模型系列
| 分类 | 说明 | 链接 |
|---|---|---|
| 通用基础大模型 | 参数 >7B 的基础语言模型 | 查看 |
| 垂直基础大模型 | 金融、医疗、法律等垂直领域 | 查看 |
| 通用对话大模型 | 对话式通用语言模型 | 查看 |
| 垂直对话大模型 | 垂直领域对话模型 | 查看 |
| 多模态对话大模型 | 图文等多模态模型 | 查看 |
| 推理类大模型 | 数学、逻辑推理模型 | 查看 |
🔧 预训练模型系列
| 系列 | 代表模型 | 链接 |
|---|---|---|
| NLU系列 | BERT · RoBERTa · ALBERT · ERNIE · MacBERT · ELECTRA | 查看全部 29 个 |
| NLG系列 | GPT · GPT-3 · T5 · BART · CPM · RWKV | 查看全部 18 个 |
| NLU-NLG系列 | UniLM · GLM · CPT · SimBERT | 查看全部 9 个 |
| 多模态系列 | WenLan · CogView · Chinese-CLIP · OFA | 查看全部 13 个 |
📦 资源与工具
📊 大模型评估基准 · 📦 开源模型库平台 · 📚 开源数据集库 · 📝 中文指令数据集 · 🎯 Embedding · 🔗 Other-Awesome
📌 备注说明
ND: Non-Causal Decoder (非因果解码器) | CD: Causal Decoder (因果解码器) | ED: Encoder-Decoder (编码器-解码器)
Base-LLM
大规模基础模型:表格中只罗列出参数量
大于7B以上模型。查看完整列表 →
| 模型 | 大小 | 时间 | 语言 | 架构 | 下载 | 项目 | 机构 | 备注 |
|---|---|---|---|---|---|---|---|---|
| XVERSE-MoE | 255B / A36B | 2024-09 | 中英 | MoE | 🤗HF | GitHub | xverse-ai | - |
| Qwen-2.5 | 0.5~72B (7档) | 2024-09 | 中英 | CD | 🤗HF | GitHub | QwenLM | Blog |
| Tele-FLM | 52B / 102B / 1TB | 2024-07 | 多语 | CD | 🤗HF | - | CofeAI | Paper |
| meta-llama-3.1 | 8B / 70B / 405B | 2024-07 | 多语 | CD | 🤗HF |
For agents
This page has a .md twin and JSON over the API.