GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
MOSS is an open-source conversational language model from Fudan University that supports bilingual dialogue and tool invocation. It offers various models, dialogue data, deployment, and fine-tuning code.
Good fit when
- Use MOSS when you need a conversational language model that supports both Chinese and English dialogue.
- Consider MOSS if you require a model that can invoke external tools such as search engines, image generation, calculators, and equation solvers.
Avoid when
- Avoid MOSS if your project requires a model that is not open-source or if you prefer proprietary solutions.
- Do not use MOSS if your application does not require support for tool invocation or if you need a model that is not bilingual.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (12d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- 80 low (80 low)
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install MOSS PyPIHow it fits your stack(9)
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Evidence and technical details
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Overview
MOSS is an open-source conversational language model that supports bilingual dialogue and tool invocation. It provides models, dialogue data, deployment, and fine-tuning code.
Capability facts
- Languages
- python
Source: github.language · Sep 18, 2026
Categories
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README
MOSS <p align="center" width="100%" <a href="https://txsun1997.github.io/blogs/moss.html" target=" blank" <img src="https://txsun1997.github.io/images/moss.png" alt="MOSS" style="width: 50%; min width: 300px; display: block; margin: auto;" </a </p [论文][中文版] [English] [官方微信群] MOSS...
For agents
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