InternLM Releases Intern-S2-397B Open-Weights Multimodal Model with vLLM Day-0 Support
The InternLM team has released Intern-S2-397B, a massive 397-billion parameter open-weights model tailored for multimodal reasoning, coding, and scientific agent workflows. The release features immediate Day-0 integration with the vLLM inference engine and is now hosted on Hugging Face. Releasing a 397B parameter open-weights model significantly advances open-source capabilities in complex scientific reasoning and multimodal tasks. Immediate compatibility with vLLM enables enterprise developers and researchers to deploy and serve the model at scale without custom engineering delays. Intern-S2-397B is part of the Intern-S2 collection on Hugging Face, specifically optimized for advanced reasoning and agentic scientific workflows. Its integration with vLLM leverages efficient KV-cache handling and batching for high-throughput inference serving.
## BACKGROUND
InternLM is a family of open-source foundation models developed by Shanghai AI Laboratory, spanning general language understanding, multimodal tasks, and scientific applications. vLLM is an open-source high-throughput and memory-efficient LLM serving framework designed to accelerate AI model deployment.