书生大模型
Intern (书生) is a family of AI models from Shanghai AI Laboratory, including InternLM for language, Intern-Wanxiang for multimodality and Intern-Fengwu for weather. Released with an open-source strategy to spur research and innovation.
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Best for researchers and developers building on open models; not suitable for casual users wanting a ready-made chat product.
Verified facts
What is 书生大模型
Intern (书生) is a family of AI models from Shanghai AI Laboratory, including InternLM for language, Intern-Wanxiang for multimodality and Intern-Fengwu for weather. Released with an open-source strategy to spur research and innovation.
Key features of 书生大模型
- Ultra-long text understanding
- Multimodal research and applications
- Secondary development on open weights
- Domain research such as weather forecasting
Good for
- Model family spans many domains
- InternLM handles up to 1M-token inputs
- Open releases benefit research
Watch out
- Self-deployment and technical skill required
- No direct consumer-facing product UI
- You bear your own compute costs
How to use 书生大模型
- Visit intern-ai.org.cn
- Review each sub-model's capabilities
- Get the weights from the open-source community
- Set up inference or fine-tuning per docs
- Run evaluations or integrate into your app
Who 书生大模型 is for
Difficulty: Advanced
- Ultra-long text understanding
- Multimodal research and applications
- Secondary development on open weights
- Domain research such as weather forecasting
FAQ
Are the models open source?
Yes, the listing states they follow an open-source strategy for sharing and innovation.
What sub-models are included?
InternLM (language), Intern-Wanxiang (multimodal), Intern-Fengwu (weather) and more.
Can casual users try it directly?
It targets research and development; casual users should try apps built on these models.
Sources and verification
Sources: intern-ai.org.cn (opens in a new tab)
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