MOSS

Tasks such as dialogue generation...

4.5| Editor Rating

Editor Review

MOSS has significant academic meaning; its release allowed more people to see the possibilities of domestic large models. The open-source strategy allows developers to deeply study and optimize the model. The plugin system is one of its features, enhancing the model's capability boundaries. Although not as commercialized as products from major tech giants, it is very valuable for academic research and educational purposes.

AI Tools Navigator Editorial TeamUpdated: 2026-02-11

What is MOSS

MOSS is a conversational large language model developed by the Fudan University team. As one of the earliest ChatGPT-like models released in China, MOSS adheres to open source and openness. It supports tasks such as dialogue generation, programming, and factual Q&A, and possesses plugin calling capabilities.

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Basic Info

Category:,

Best For

DevelopersResearchersStudentsAI enthusiasts

Difficulty: Advanced

MOSS Key Features

Open Source Dialogue Model
Provides model weights and training code, supporting developers in local deployment and fine-tuning.
Plugin Calling Capability
Supports calling external plugins such as search engines and calculators, enhancing answer accuracy.
Multi-task Processing
Possesses various capabilities such as dialogue, programming, and translation, adapting to different scenarios.
Academic Research Friendly
Provides a transparent and reproducible large model foundation for the academic community.

MOSS Key Advantages

Completely open-source, high academic value
Supports plugin calling, good scalability
Endorsed by Fudan University team, reliable technology
Free to use, no commercial restrictions

MOSS Use Cases

Large Model Teaching and Research
University teachers and students use MOSS for large model principle teaching and experiments.
Private Deployment Application
Enterprises build internal dedicated chatbots based on MOSS.
Plugin Function Development
Developers create new plugins for MOSS to extend its functionality.