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Awesome-Chinese-LLM

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Project Description

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。

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。

Project Title

Awesome-Chinese-LLM — Comprehensive Collection of Open-Source Chinese Large Language Models

Overview

Awesome-Chinese-LLM is a curated repository that compiles a variety of open-source Chinese Large Language Models (LLMs), focusing on smaller-scale, privately deployable models with lower training costs. It includes base models, domain-specific fine-tuning, applications, datasets, and tutorials, making it a valuable resource for developers and researchers in the field of natural language processing.

Key Features

  • Extensive collection of over 100+ resources related to Chinese LLMs.
  • Detailed overview of base models, including parameters, training tokens, and commercial usage rights.
  • Organized sections for models, applications, datasets, training frameworks, deployment frameworks, and tutorials.

Use Cases

  • Researchers and developers needing access to Chinese LLMs for natural language processing tasks.
  • Teams looking to deploy private models for specific vertical applications like healthcare, law, finance, etc.
  • Educators and students seeking resources and tutorials on LLMs for educational purposes.

Advantages

  • Provides a centralized repository for Chinese LLMs, making it easier to find and compare models.
  • Offers a wide range of resources, from base models to applications and datasets, under one umbrella.
  • Encourages community contributions, ensuring the repository stays up-to-date with the latest models and applications.

Limitations / Considerations

  • The project relies on community contributions for updates and additions, which may lead to gaps if certain areas are not actively maintained.
  • The commercial usage rights for each model may vary, requiring users to check individual licenses.
  • The repository does not host the models themselves but provides links to external resources, which may have their own accessibility and stability considerations.

Similar / Related Projects

  • Hugging Face's Transformers: A library of state-of-the-art pre-trained models with a focus on NLP, differing in that it includes a broader range of languages and models.
  • TensorFlow Hub: A library for reusable machine learning modules, which includes a variety of LLMs but is not specifically focused on Chinese models.
  • LLMs-Share: A similar project that shares resources on large language models, but may not be as comprehensive or focused on the Chinese language as Awesome-Chinese-LLM.

Basic Information


📊 Project Information

🏷️ Project Topics

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Project Information

Created on 5/22/2023
Updated on 9/8/2025