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Awesome-Chinese-LLM

A curated collection of open-source Chinese large language models, focusing on smaller, privatizable, and cost-effective models.

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Introduction

Awesome Chinese LLM

This repository is a comprehensive collection of open-source large language models (LLMs) specifically designed for the Chinese language. It emphasizes models that are smaller in scale, can be privately deployed, and have lower training costs. The collection includes:

  • Base Models: Foundational models for various applications.
  • Domain-Specific Fine-tuning: Models fine-tuned for specific fields such as healthcare, law, finance, education, technology, e-commerce, cybersecurity, agriculture, etc.
  • Applications: Various applications utilizing LLMs, including LangChain applications and others.
  • Datasets: Pre-training datasets, SFT datasets, and preference datasets for training LLMs.
  • Training Frameworks: Frameworks for training and fine-tuning LLMs.
  • Inference Deployment Frameworks: Tools for deploying LLMs in production environments.
  • Evaluation: Methods and benchmarks for evaluating LLM performance.
  • Tutorials: Educational resources covering the basics of LLMs, prompt engineering, and practical applications.

The project aims to gather and organize resources related to Chinese LLMs, with over 100 resources currently included. Contributions are welcome to expand this collection further!

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Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/28

Categories

  • AI Models
  • AI Application Platforms
  • AI Development Frameworks

Tags

  • Fine-tuning
  • Prompt Engineering
  • Foundation Models
  • Multimodal LLMs
  • Open Source
  • LLM

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