Intern S2 Preview FP8 💻Github Repo • 🤗Model Collections • 💬Online Chat 👋 join us on Discord and WeChat Introduction We introduce Intern S2 Preview , an efficient 35B scientific multimodal foundation model. Beyond conventional parameter and data scaling, Intern S2 Preview explores task scaling : increasing the difficulty, diversity, and coverage of scientific tasks to further unlock model capabilities. By extending professional scientific tasks into a full chain training pipeline from pre training to reinforcement learning, Intern S2 Preview achieves performance comparable to the trillion scale Intern S1 Pro on multiple core professional scientific tasks, while using only 35B parameters (continued pretrained from Qwen3.5). At the same time, it maintains strong general reasoning, multimodal understanding, and agent capabilities. Features Scientific task scaling with full chain training. Intern S2 Preview scales hundreds of professional scientific tasks from pre training to RL, enabling strong performance across multiple specialized domains at only 35B parameters. It further strengthens spatial modeling for small molecule structures and introduces real valued prediction mod…
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