🥳Introducing Intern-S2-Preview, an efficient 35B scientific multimodal foundation model. 1⃣Delivers performance comparable to the trillion-scale Intern-S1-Pro on core scientific tasks. 2⃣The first open-source model with material crystal structure generation capabilities and strong general capabilities. 3⃣Significantly stronger scientific agent capabilities on multiple benchmarks. 4⃣Improves MTP acceptance rate and token generation speed via shared-weight MTP + KL loss. 5⃣CoT compression shortens responses while preserving strong reasoning , improving both performance and efficiency. 🥰Now supported by vLLM (@vllm_project) and SGLang ( @lmsysorg ) — with more ecosystem integrations on the way. 🤗Model： @huggingface huggingface.co/collections/in… @ModelScope2022 modelscope.cn/collections/Sh… 🤗GitHub: github.com/InternLM/Inter… 🤗Try it now at: chat.intern-ai.org.cn
