LLM Reference

InternLM-XComposer2 Models by Intern-AI

3 models2024

About

The InternLM-XComposer2 family brings together a suite of vision-language large models (VLLMs) based on the InternLM2 foundation model. These models are adept at tackling advanced text-image comprehension and composition tasks, with variations such as the InternLM-XComposer2-VL excelling in multimodal benchmarks and InternLM-XComposer2 tailored for sophisticated text-image composition. A standout in this series, the InternLM-XComposer2.5, offers capabilities comparable to GPT-4V with just a 7B LLM backend, while the InternLM-XComposer2-4KHD can comprehend images up to 4K resolution. Open-source and accessible on Hugging Face and GitHub, these models cater to various needs, including multimodal content creation and enhancing visual language understanding, with some versions optimized for devices with limited resources through 4-bit quantization.

Current Variants

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

3 in view

Use when the workload needs 7B parameters.

2024-047B parameters

Use when the workload needs 7B parameters.

2024-047B parameters

Use when the workload needs 7B parameters.

2024-047B parameters

Release Timeline

1 release group
2024-04
3 current
Current
Current
Current

Specifications(3 models)

InternLM-XComposer2 model specifications comparison
ModelReleasedParameters
InternLM XComposer2 4KHD 7B2024-047B
InternLM XComposer2 7B2024-047B
InternLM XComposer2 VL 7B2024-047B

Frequently Asked Questions

What is InternLM-XComposer2 used for?
InternLM-XComposer2 is used for coding. The family description and listed model capabilities point to those workloads as the best fit.
How does InternLM-XComposer2 compare to InternVL?
InternLM-XComposer2 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-XComposer2 has 3 listed variants, while InternVL reaches up to 32k context, so compare the specs and pricing tables before choosing a production model.
Which InternLM-XComposer2 model should I use?
If price is the main constraint, use the pricing table first because InternLM-XComposer2 does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate InternLM XComposer2 4KHD 7B.

Models(3)