Can you provide some examples of which to choose between InternLM-XComposer2 or InternLM-XComposer2-VL?

**Thanks for your great work! I'm really interested in your work and have some questions here~**

> InternLM-XComposer2-VL-7B [🤗](https://huggingface.co/internlm/internlm-xcomposer2-vl-7b) : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for VL benchmarks and AI assistant. It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.

> InternLM-XComposer2-7B [🤗](https://huggingface.co/internlm/internlm-xcomposer2-7b): The further instruction tuned VLLM for Interleaved Text-Image Composition with free-form inputs.

The `InternLM-XComposer2-7B` obviously indicates the format like:
```
Hello! What's in the image, and in , what can you see?
```
It's the **free-form** inputs.

But when to use the `InternLM-XComposer2-VL-7B`? With the image-only inputs with some benchmarks, for image comprehension without text inputs?
I'm confused about the input format.

So, the questions here:
1. The input format for `InternLM-XComposer2` and `InternLM-XComposer2-VL`, especially for the `VL` version, can you give some situations?
2. The boundary between the two versions of `InternLM-XComposer2`, if I select the wrong version, could it greatly damage the result? (for example, use `InternLM-XComposer2` on benchmark testing, or use the `VL` version on an interleaved situation)
3. Is the `InternLM-XComposer2` training based on `InternLM-XComposer2-VL` with extra interleaved data for instruct tuning? And how to train the `VL` version of `InternLM-XComposer2`?

**Thanks for your great work again~**