ModelScope announced Shanghai AI Laboratory Intern-S2-397B weights in BF16 and FP8 under Apache-2.0. Reported scores include 87.0 on FrontierScience-Olympiad and 84.0 on SWE-bench Multilingual, with long-horizon agent RL, tool use, and thinking/non-thinking modes. Training ingests raw scientific pages (text, visuals, symbols) across 20+ domains. Collection on ModelScope.
Key Takeaways
- ✓BF16 and FP8 weights are public under Apache-2.0 on ModelScope.
- ✓Reported 84.0 SWE-bench Multilingual and 87.0 FrontierScience-Olympiad as comparison leaders.
- ✓Long-horizon agent RL targets tool use and sustained execution, with thinking and non-thinking modes.
Discussion & Comments
0Sign in to join the discussion
Connect with AI developers to exchange benchmark insights.