LLM Reference

InternLM-XComposer Models by Intern-AI

Intern-AIApache 2.0Open source
2 models2023Up to 4k ctx

Last refreshed 2026-05-19. Next refresh: weekly.

Details

ResearcherIntern-AI
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models2
Released2023
Max context4k

About

The InternLM-XComposer family features a suite of advanced large vision-language models (LVLMs) tailored for sophisticated text-image understanding and composition. These models showcase exceptional capabilities in multimodal tasks, performing on par with GPT-4V while utilizing a more compact 7B parameter language model backend. Prominent functionalities include the interpretation of ultra-high resolution images, detailed video analysis, and handling complex multi-turn, multi-image dialogues. Additionally, they can convert text or image instructions into web pages and produce high-quality text-image articles. As open-source models, they are readily accessible for further exploration and innovation in the research community. The latest version, InternLM-XComposer-2.5, offers enhanced performance over its predecessors, particularly in managing longer context scenarios 24.

Decision facts

Best fit
coding
Capability starting point
InternLM XComposer 7B with 4k context
Lowest tracked input
Not tracked
Closest related family
InternVL

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

2 in view

Use when the workload needs 4k context and 7B parameters.

2023-104k context7B parameters

Use when the workload needs 4k context and 1.7B parameters.

2023-104k context1.7B parameters

Release Timeline

1 release group
2023-10
2 current
InternLM XComposer 1.7B
4k context1.7B parameters
Current
InternLM XComposer 7B
4k context7B parameters
Current

Specifications(2 models)

InternLM-XComposer model specifications comparison
ModelReleasedContextParameters
InternLM XComposer 7B2023-104k7B
InternLM XComposer 1.7B2023-104k1.7B