What is InternLM-XComposer used for?

InternLM-XComposer is used for coding. The family description and listed model capabilities point to those workloads as the best fit.

How does InternLM-XComposer compare to InternVL?

InternLM-XComposer by Intern-AI is strongest where you need coding, while InternVL by Intern-AI is the closest related family to check for adjacent model selection. InternLM-XComposer has 2 listed variants and reaches up to 4k context, while InternVL reaches up to 32k context, so compare the specs and pricing tables before choosing a production model.

Which InternLM-XComposer model should I use?

If price is the main constraint, use the pricing table first because InternLM-XComposer does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate InternLM XComposer 7B with 4k context.

InternLM-XComposer Models by Intern-AI

Intern-AI

2 models2023Up to 4k ctx

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.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

2 in view

InternLM XComposer 7BCurrent

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

2023-104k context7B parameters

InternLM XComposer 1.7BCurrent

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

2023-104k context1.7B parameters

Current InternLM-XComposer variants with use-when guidance and lifecycle status
Model	Use when	Released	Signals	Status
InternLM XComposer 7B	Use when the workload needs 4k context and 7B parameters.	2023-10	4k context7B parameters	Current
InternLM XComposer 1.7B	Use when the workload needs 4k context and 1.7B parameters.	2023-10	4k context1.7B parameters	Current

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
Model	Released	Context	Parameters
InternLM XComposer 7B	2023-10	4k	7B
InternLM XComposer 1.7B	2023-10	4k	1.7B

Frequently Asked Questions

What is InternLM-XComposer used for?: InternLM-XComposer is used for coding. The family description and listed model capabilities point to those workloads as the best fit.
How does InternLM-XComposer compare to InternVL?: InternLM-XComposer by Intern-AI is strongest where you need coding, while InternVL by Intern-AI is the closest related family to check for adjacent model selection. InternLM-XComposer has 2 listed variants and reaches up to 4k context, while InternVL reaches up to 32k context, so compare the specs and pricing tables before choosing a production model.
Which InternLM-XComposer model should I use?: If price is the main constraint, use the pricing table first because InternLM-XComposer does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate InternLM XComposer 7B with 4k context.