Intern-S2-397B (multimodal, reasoning, coding, and scientific agent capabilities)
Summary
Intern-S2-397B is a large multimodal AI model with capabilities in reasoning, coding, and scientific agent tasks, now available on Hugging Face with day-0 support from vLLM.
Similar Articles
Intern-S2-Preview: Scientific Agentic Foundation Model
Intern-S2-Preview is a scientific agentic foundation model series integrating multimodal pretraining, multi-task reinforcement learning, and memory-augmented extensions for long-horizon scientific reasoning and forecasting. The 397B model achieves competitive results across scientific and agentic benchmarks, with a separate memory-decoder extension improving biology instruction performance without modifying the backbone.
internlm/Intern-S2-Preview · Hugging Face
InternLM releases Intern-S2-Preview, a 35B scientific multimodal foundation model that achieves performance comparable to trillion-scale models on professional scientific tasks through task scaling and a full-chain training pipeline.
InternScience/Agents-A1 · Hugging Face
Agents-A1 is a 35B Mixture-of-Experts agentic model from InternScience that achieves competitive performance against frontier-scale systems like GPT-5.5 and DeepSeek-V4-pro using long-horizon trajectory scaling and multi-teacher multi-domain distillation.
AIDC-AI/Ovis2.6-80B-A3B · Hugging Face
Ovis2.6-80B-A3B is a new Multimodal Large Language Model released by AIDC-AI, featuring a Mixture-of-Experts architecture with 80B total parameters but only 3B active during inference. It offers enhanced long-context processing, high-resolution understanding, and active visual reasoning capabilities.
InternScience/Agents-A1-Q4_K_M-GGUF
InternScience releases Agents-A1, a 35B Mixture-of-Experts agentic model that achieves trillion-parameter-level performance through scaling long-horizon trajectories and heterogeneous agent abilities, with strong results on benchmarks like Seal-0, HiPhO, and IFEval.