LLM Reference

InternVL Models by Intern-AI

Intern-AIApache 2.0Open source
2 models2024Up to 32k ctx

Details

ResearcherIntern-AI
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models2
Released2024
Max context32k

About

InternVL is a family of 2 AI models by Intern-AI, released in 2024.

Current Variants

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

2 in view
InternVL 2Current

Use when the workload needs 32k context.

2024-0832k context

Use when the workload needs 32k context and 26B parameters.

2024-0332k context26B parameters

Release Timeline

2 release groups
2024-08
1 current
InternVL 2
32k context
Current
2024-03
1 current
InternVL 1.5
32k context26B parameters
Current

Specifications(2 models)

InternVL model specifications comparison
ModelReleasedContextParameters
InternVL 22024-0832k
InternVL 1.52024-0332k26B

Frequently Asked Questions

What is InternVL used for?
InternVL is used for evaluating 2 related AI models by specs, pricing, provider access, and release data.
How does InternVL compare to InternLM?
InternVL by Intern-AI is strongest where you need its listed use cases, while InternLM by Intern-AI is the closest related family to check for coding. InternVL has 2 listed variants and reaches up to 32k context, while InternLM reaches up to 4k context, so compare the specs and pricing tables before choosing a production model.
Which InternVL model should I use?
If price is the main constraint, use the pricing table first because InternVL does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate InternVL 2 with 32k context.