Intern-S2-397B: Hugging Face's New Multimodal Foundation Model
Hugging Face has introduced Intern-S2-397B, their most advanced multimodal foundation model designed for scientific intelligence and long-horizon agents. This model combines new vision-language pre-training with large-scale multi-task reinforcement learning to enhance reasoning capabilities in both general and specialized domains such as biomolecular interaction design and material structure…
Key points
- Intern-S2-397B is Hugging Face’s most capable multimodal foundation model
- Combines new vision-language pre-training with large-scale multi-task reinforcement learning
- Improves general and scientific long-horizon agent capabilities
The story so far
2 episodes →- Intern-S2-397B: Hugging Face's New Multimodal Foundation Modelthis story
internlm/Intern-S2 · Hugging Face
huggingface.co · 13 September 2026
Loading the full article…
This text was published by huggingface.co. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
Coverage and discussion
1source- Reddit discussionreddit.com
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
More in Generative AI & Models
All →- Introducing Mistral Large 4 · 7 src
- OpenAI boosts GPT-6 speed by 50% in 28 Days update · 1 src
- Reflection AI debuts Beam, a 501B open-weight model rivaling GLM 5.2 with 3-4x less compute · 10 src
- Author tests four AI assistants on flawed forecasting scenarios · 1 src
- Anthropic prompts users to share voice data to enhance AI models · 8 src
Comments
via GitHub Discussions