Model Detail
Intern-S1-Pro
—Intern-S1-Pro is a code generation model released by InternLM. The model is registered under the image-text-to-text pipeline tag on Hugging Face.
Intern-S1-Pro is published on Hugging Face but our pipeline has not yet captured architecture, license, or parameter-count metadata for this entry. The data is refreshed daily, so these fields typically populate within 24–48 hours of release.
Intern-S1-Pro is best fit for code completion, repository-scale Q&A, and pair-programming integrations. It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
arXiv:2603.25040v2 Announce Type: replace-cross Abstract: We introduce Intern-S1-Pro, the first one-trillion-parameter scientific multimodal foundation model. Scaling to this unprecedented size, the model delivers a comprehensive enhancement across both general and scientific domains. Beyond stronge
Intern-Decision: Efficient Multimodal Decision Making with Autoregressive Masked Language Modeling
arXiv:2610.22131v1 Announce Type: new Abstract: Interactive agents repeatedly choose among a finite set of actions, labels, or ordinal outcomes. Generating a free-form response for each choice adds latency and complicates the interface between a model and its environment. We present Intern-Decision,
