InternLM releases preview of 397B model on Hugging Face
InternLM has launched a preview version of its new model, Intern-S2-Preview-397B, on Hugging Face. Aimed at the local LLM community, the model enables deeper exploration and development within advanced AI.

What happened?
InternLM has published the preview version of its large-scale language model, Intern-S2-Preview-397B, on the Hugging Face platform. This version, with 397 billion parameters, represents a step forward in the development of models capable of running locally. The release occurred without detailed information regarding the model's architecture or training data.
Key facts
| Modellnamn | Intern-S2-Preview-397B |
|---|---|
| Antal parametrar | 397 miljarder |
| Plattform | Hugging Face |
| Typ av release | Förhandsvisning |
Why it matters
Making a language model as large as Intern-S2-Preview-397B available, even in preview, is significant for researchers and developers. It provides the opportunity to explore new frontiers in local AI development and test the capacity of large models without relying on cloud services. This can accelerate innovation and democratise access to advanced AI technology.
Who is affected?
The release primarily affects AI researchers, open-source developers, and enthusiasts within the local LLM community. They gain access to a new, powerful model for experimentation and customisation. Larger companies and institutions working with AI may also benefit from the opportunity to evaluate and build upon this type of model.
What else you should know
Details regarding the model's exact specifications and performance are currently limited. More information is expected to become available as development progresses and the model is evaluated by the community.
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