# Intern-S2-397B: Hugging Face's New Multimodal Foundation Model

Digest AI · Generative AI & Models · published 2026-09-13T10:19:48Z

Canonical: https://digestai.news/story/intern-s2-397b-hugging-face-s-new-multimodal-foundation-model

## Summary

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 generation. Intern-S2-397B is capable of handling complex tasks like fetching weather forecasts, making it versatile for a variety of applications. The model's deployment can be controlled via different inference frameworks including LMDeploy and vLLM, allowing users to integrate the model into their existing systems seamlessly.

## 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

## Why it matters

This release highlights the ongoing advancements in AI models, particularly in the realm of multimodal learning which is crucial for applications like scientific research and complex reasoning tasks.

## Sources

1. [internlm/Intern-S2 · Hugging Face](https://huggingface.co/internlm/Intern-S2) (huggingface.co, 2026-09-13, primary source)

Part of the developing story: [Rapid Release of Advanced AI Language Models](https://digestai.news/thread/intern-s2-397b-hugging-face-s-new-multimodal-foundation-model) (2 stories)

## Cite

Digest AI, "Intern-S2-397B: Hugging Face's New Multimodal Foundation Model", 13 September 2026, https://digestai.news/story/intern-s2-397b-hugging-face-s-new-multimodal-foundation-model

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