Welcome to the InternLM (Intern Large Models) organization. Intern-series large models (chinese name: δΉ¦η) are developed by Shanghai AI Laboratory and we keep open-sourcing high quality LLMs/MLLMs as well as toolchains for development and application.
Models
Intern-S1: a multimodal reasoning model with strong general capabilities and state-of-the-art performance on a wide range of scientific tasks.
InternVL: an advanced multimodal large language model (MLLM) series that demonstrates superior general performance.
InternLM: a series of multi-lingual foundation models and chat models.
InternLM-Math: state-of-the-art bilingual math reasoning LLMs.
InternLM-XComposer: a vision-language large model based on InternLM for advanced text-image comprehension and composition.
Toolchain
XTuner: a next-generation training engine built for ultra-large MoE models, with superior efficiency.
LMDeploy: a toolkit for compressing, deploying and serving LLMs.
OpenCompass: a platform for large model evaluation, providing a fair, open, and reproducible benchmark.
Lagent: a lightweight framework that allows users to efficiently build LLM-based agents.
Applications
HuixiangDou: a domain-specific assistant based on LLMs which can deal with complex techinical questions in group chats.
MindSearch: an LLM-based multi-agent framework of web search engine.
[EMNLP 2026] An official Implementation of "Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games"
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