Create README.md

README.md

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+license: apache-2.0
+pipeline_tag: text-generation
+---
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+<p align="center">
+    <img src="logo.png" width="400"/>
+<p>
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+<p align="center">
+    <b><font size="6">InternLM-XComposer</font></b> 
+<p>
+
+<div align="center">
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+[💻Github Repo](https://github.com/InternLM/InternLM-XComposer)
+
+</div>
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+**InternLM-XComposer** is a vision-language large model (VLLM) based on [InternLM](https://github.com/InternLM/InternLM/tree/main) for advanced text-image comprehension and composition. InternLM-XComposer has serveal appealing properties:
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+- **Interleaved Text-Image Composition**: InternLM-XComposer can effortlessly generate coherent and contextual articles that seamlessly integrate images, providing a more engaging and immersive reading experience. The interleaved text-image composition is implemented in following steps:
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+    1. **Text Generation**: It crafts long-form text based on human-provided instructions.
+    2. **Image Spoting and Captioning**: It pinpoints optimal locations for image placement and furnishes image descriptions.
+    3. **Image Retrieval and Selection**: It select image candidates and identify the image that optimally complements the content.
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+- **Comprehension with Rich Multilingual Knowledge**: The text-image comprehension is empowered by training on extensive multi-modal multilingual concepts with carefully crafted strategies, resulting in a deep understanding of visual content.
+- **Strong performance**: It consistently achieves state-of-the-art results across various benchmarks for vision-language large models, including [MME Benchmark](https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models/tree/Evaluation) (English), [MMBench](https://opencompass.org.cn/leaderboard-multimodal) (English), [Seed-Bench](https://huggingface.co/spaces/AILab-CVC/SEED-Bench_Leaderboard) (English), [CCBench](https://opencompass.org.cn/leaderboard-multimodal)(Chinese), and [MMBench-CN](https://opencompass.org.cn/leaderboard-multimodal) (Chineese).
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+We release InternLM-XComposer series in two versions:
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+- InternLM-XComposer-VL: The pretrained VLLM model with InternLM as the initialization of the LLM, achieving strong performance on various multimodal benchmarks, e.g., MME Benchmark, MMBench Seed-Bench, CCBench, and MMBench-CN.
+- InternLM-XComposer: The finetuned VLLM for *Interleaved Text-Image Composition* and *LLM-based AI assistant*.
+  <br>