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README.md

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-license: apache-2.0
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+---
+inference: false
+pipeline_tag: image-text-to-text
+---
+<br>
+<br>
+
+# AVG-LLaVA Model Card
+
+## Model details
+
+**Model type:**
+AVG-LLaVA is an open-source LMM that can adaptively select the appropriate visual granularity 
+based on the input image and instruction.
+It is an auto-regressive language model, based on the transformer architecture.
+Base LLM: [lmsys/vicuna-7b-v1.5](https://huggingface.co/lmsys/vicuna-7b-v1.5)
+
+**Paper or resources for more information:**
+https://arxiv.org/abs/2410.02745
+
+## License
+Llama 2 is licensed under the LLAMA 2 Community License, 
+Copyright (c) Meta Platforms, Inc. All Rights Reserved.
+
+**Where to send questions or comments about the model:**
+https://github.com/DeepLearnXMU/AVG-LLaVA/issues
+
+## Intended use
+**Primary intended uses:**
+The primary use of LLaVA is research on large multimodal models and chatbots.
+
+**Primary intended users:**
+The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
+
+## Training dataset
+- ShareGPT4V Mix665K
+- 200K GPT4V-generated instruction data (ALLaVA)
+- 200K various VQA data
+
+## Evaluation dataset
+A collection of 11 benchmarks, including general VQA benchmarks, text-oriented VQA benchmarks, and general multimodal benchmarks.