Intern Large Models

Intern-series large models are developed by Shanghai AI Laboratory. We keep open-sourcing high quality LLMs/MLLMs as well as a full-stack toolchain for development and application.

Models

• InternVL: an advanced multimodal large language model (MLLM) series that demonstrates superior overall performance.
• Intern-S1: a scientific multimodal large model with both strong general capabilities and the SOTA performance on various scientific tasks.
• 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 (VLLM) based on InternLM for advanced text-image comprehension and composition.

Toolchain

• XTuner: a toolkit for efficiently fine-tuning LLMs, supporting various models and fintuning algorithms.
• LMDeploy: a toolkit for compressing, deploying, and serving LLMs.
• Lagent: a lightweight framework that allows users to efficiently build LLM-based agents.
• OpenCompass: a platform for large model evaluation, providing a fair, open, and reproducible benchmark.