---
title: Intern-S1
description: "Intern-S1 is an open multimodal scientific reasoning model from Shanghai AI Laboratory (InternLM): a Qwen3-235B mixture-of-experts language model with a 6B InternViT vision encoder, about 241B parameters, continually pretrained on scientific data. Its tokenizer reads molecular formulas and protein sequences natively."
tags:
- conversational
- custom_code
- eval-results
- image-text-to-text
- interns1
- multimodal
- reasoning
- scientific-llm
- text-generation
license: apache-2.0
source_url: https://huggingface.co/internlm/Intern-S1
---

# Intern-S1

> **Mirrored metadata.** This card is reproduced on Atlas for discovery. The artifact itself is not hosted here — follow the source link for the files, and refer to the upstream licence for terms of use.

Intern-S1 is an open multimodal scientific reasoning model from Shanghai AI Laboratory (InternLM): a Qwen3-235B mixture-of-experts language model with a 6B InternViT vision encoder, about 241B parameters, continually pretrained on scientific data. Its tokenizer reads molecular formulas and protein sequences natively.

Upstream identifier: `internlm/Intern-S1`. Paper: [arXiv:2508.15763](https://arxiv.org/abs/2508.15763).

**Source:** https://huggingface.co/internlm/Intern-S1

**Licence:** apache-2.0

_This model is part of the Atlas demo catalogue. See the repository history for provenance._