InternLM XComposer2 7B
InternLM XComposer2 7B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- InternLM-XComposer2
- Released
- 2024-04-09
- Parameters
- 7B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-08
- Specialization
- general
- Training
- finetuned
About
InternLM-XComposer2 7B is a cutting-edge vision-language large model (VLLM) derived from InternLM2, designed for sophisticated text-image understanding and generation. This model excels in tasks that require the integrated processing of text and images, such as image captioning and visual question answering. With its capability to handle high-resolution images and long-context understanding, it facilitates detailed composition and analysis of visual elements. The model is available in two versions, with one fine-tuned for free-form interleaved text-image compositions. Notably, it supports open-source and commercial use under the Apache-2.0 license, promising extensive applications in content creation, multimodal assistance, and beyond. Despite its advanced capabilities, users should be mindful of its limitations, including challenges with low-quality visuals and potential biases rooted in training data.
InternLM XComposer2 7B is a model in the InternLM-XComposer2 family. No headline benchmark score is tracked for InternLM XComposer2 7B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.