Intern-S2-397B: Shanghai AI Lab's strongest open scientific multimodal model

Shanghai AI Laboratory (InternLM)

Models / LLM official 2 src. ~1 min

Intern-S2-397B is Shanghai AI Lab's most capable multimodal foundation model for scientific intelligence and long-horizon agents, combining a vision-language pretraining paradigm that learns directly from raw scientific-literature pages (without OCR-style intermediate parsing) with RL across 20+ scientific domains and black-box agentic RL in sandboxed environments. Released under Apache-2.0; exact benchmark scores are published as rasterized charts, not readable text.

Why it matters

Advances open-source science-focused models on a distinct axis from general chatbots — biomolecular interaction design, material structure generation, and long-horizon agent tasks.

Importance: 3/5

Major open-weights multimodal release from a leading Chinese lab

open-source multimodal science agents rl

Sources

official Intern-S2-397B model card (Hugging Face)

official InternLM/Intern-S1 GitHub repository