Intern S2 397B

Atria Dawn Preview

Shanghai AI Laboratory

Atria Dawn Preview is Shanghai AI Laboratory’s agentic model for turning research and engineering questions into executable results. Built on GLM-5.2’s 744B mixture-of-experts foundation, it is post-trained for discovery, code creation, office deliverables, and cybersecurity tasks in authorized environments. The released text-only checkpoint supports a documented 256K inference context, downloadable MIT-licensed weights, and hosted API access. It combines tool execution with environmental feedback for experiment design, failure recovery, and verification. Configuration maximums above the documented serving limit are not treated as evidence of a larger supported context.

Intern Lumina U2

Shanghai AI Laboratory

Intern Lumina U2 is a unified language-capable multimodal diffusion model covering text questions, visual understanding, image generation, and editing. Its sparse 16B backbone activates 1B parameters and uses an eight-codebook discrete visual tokenizer. The Ascend-trained weights are publicly available; the NVIDIA-trained checkpoint, training code, and report remain future work. Code publication in August preceded the September weight release. Primary catalogs verify the release month; the exact first-public day remains unverified and is not inferred from private repository or API creation metadata.

Intern S2 Mobius

Shanghai AI Laboratory

Intern S2 Mobius is a 35B research model that separates knowledge storage from reasoning computation. Globally shared memory lets recurrent reasoners refine continuous hidden states and access knowledge beyond a fixed layer hierarchy. It is continually pretrained from Qwen3.5-35B and post-trained with supervised learning and reinforcement learning. The public checkpoint and deployment code allow study of concise latent reasoning and multi-token prediction. Primary catalogs verify the release month; the exact first-public day remains unverified and is not inferred from private repository or API creation metadata.