SGLang(@sgl_project):SGLang has Day-0 support for Intern-S2-397B from @intern_lm, a 397B multimodal foundation model built for scientific intelligence and long-horizon agents. > New pre-training paradigm: learns directly from raw scientific literature pages, no parsing needed > Scientific reasoning: RL across 20+ domains, from biomolecule design to material generation > Long-horizon agents: black-box agentic RL in large-scale sandboxed environments Run it now with SGLang!

2026.09.14 16:19

SGLang has Day-0 support for Intern-S2-397B from @intern_lm, a 397B multimodal foundation model built for scientific intelligence and long-horizon agents. > New pre-training paradigm: learns directly from raw scientific literature pages, no parsing needed > Scientific reasoning: RL across 20+ domains, from biomolecule design to material generation > Long-horizon agents: black-box agentic RL in large-scale sandboxed environments Run it now with SGLang!

Intern Large Models@intern_lm

2026.09.14 09:09

🚀 Introducing Intern-S2-397B, our new multimodal foundation model designed for long-horizon scientific research and powerful scientific agents. 1⃣Strong general capabilities across knowledge, coding, and agents, ranking among the top open-source models. 2⃣Outstanding performance on scientific tasks including Biology-Instructions and Mol-Instructions, with strong capabilities in scientific understanding, generation, and design. 3⃣Achieves leading results among open-source models on IMO-Proof and AdvancedMathBench, reaching the level of top closed-source models such as Gemini 3.1 Pro. 4⃣Explores a new architecture for continuously expanding specialized scientific knowledge, building a stronger foundation for long-cycle scientific research. 👏Now supported by vLLM (@vllm_project ) and SGLang ( @lmsysorg ) — with more ecosystem integrations on the way. 🤗 Model: @huggingface @ModelScope2022 🤗 Try it now: